From c637d68d74e8bd8c6b78e8b99965ba4eb22970fc Mon Sep 17 00:00:00 2001 From: drbh Date: Mon, 25 Nov 2024 12:36:31 -0500 Subject: [PATCH 01/31] feat: concat the adapter id to the model id in chat response (#2779) * feat: concat the adapter id to the model id in chat response * fix: updated to include only the adapter id in chat response --- router/src/server.rs | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/router/src/server.rs b/router/src/server.rs index 6001e2dd..f253cb63 100644 --- a/router/src/server.rs +++ b/router/src/server.rs @@ -1228,6 +1228,7 @@ pub(crate) async fn chat_completions( let span = tracing::Span::current(); metrics::counter!("tgi_request_count").increment(1); let ChatRequest { + model, stream, stream_options, logprobs, @@ -1238,8 +1239,11 @@ pub(crate) async fn chat_completions( let logprobs = logprobs.unwrap_or_default(); - // static values that will be returned in all cases - let model_id = info.model_id.clone(); + // extract model id from request if specified + let model_id = match model.as_deref() { + Some("tgi") | None => info.model_id.clone(), + Some(m_id) => m_id.to_string(), + }; let system_fingerprint = format!("{}-{}", info.version, info.docker_label.unwrap_or("native")); // switch on stream if stream { From 289aa4855449fe9162c8da7e13aaaaef81755a3b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dani=C3=ABl=20de=20Kok?= Date: Mon, 25 Nov 2024 18:47:34 +0100 Subject: [PATCH 02/31] Move JSON grammar -> regex grammar conversion to the router (#2772) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Move JSON grammar -> regex grammar conversion to the router This change moves the JSON grammar -> regex grammar conversion to the router by adding a dependency on the `outlines-core` Rust crate. In contrast to the Python implementation, the conversions are not LRU-cached since they seem to be fast enough: simple schema time: [5.8293 µs 5.8307 µs 5.8320 µs] change: [-13.166% -12.884% -12.641%] (p = 0.00 < 0.05) Performance has improved. complex schema time: [14.875 µs 14.881 µs 14.887 µs] change: [-2.1637% -1.9914% -1.7852%] (p = 0.00 < 0.05) Performance has improved. Using the schemas from: https://github.com/dottxt-ai/outlines-core/blob/main/benchmarks/bench_json_schema.py --- .pre-commit-config.yaml | 1 + Cargo.lock | 24 ++++++++++++ crate-hashes.json | 3 ++ ...st_grammar_response_format_llama_json.json | 14 +++---- .../test_flash_llama_grammar_tools.json | 20 +++++----- .../test_flash_llama_grammar_tools_auto.json | 20 +++++----- ..._sea_creatures_stream_function_object.json | 4 +- ...r_tools_sea_creatures_stream_required.json | 4 +- ...test_flash_llama_grammar_tools_stream.json | 13 ++++--- .../test_grammar_response_format_llama.py | 2 +- integration-tests/models/test_tools_llama.py | 10 ++--- router/Cargo.toml | 2 + router/src/infer/chat_template.rs | 2 +- router/src/validation.rs | 15 +++++--- .../utils/logits_process.py | 38 +++++++++++-------- 15 files changed, 108 insertions(+), 64 deletions(-) create mode 100644 crate-hashes.json diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 0c8b6885..b5d939cd 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -4,6 +4,7 @@ repos: hooks: - id: check-yaml - id: end-of-file-fixer + exclude: crate-hashes.json - id: trailing-whitespace exclude: docs/source/reference/launcher.md - repo: https://github.com/psf/black diff --git a/Cargo.lock b/Cargo.lock index 77c49408..72f70fdc 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -3005,6 +3005,17 @@ dependencies = [ "num-traits", ] +[[package]] +name = "outlines-core" +version = "0.1.0" +source = "git+https://github.com/dottxt-ai/outlines-core.git?rev=ba10c619fc9bf3c487e43f49bdecb95a24bb465c#ba10c619fc9bf3c487e43f49bdecb95a24bb465c" +dependencies = [ + "anyhow", + "regex", + "serde-pyobject", + "serde_json", +] + [[package]] name = "overload" version = "0.1.1" @@ -3952,6 +3963,16 @@ dependencies = [ "serde_derive", ] +[[package]] +name = "serde-pyobject" +version = "0.4.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "ca4b0aad8b225845739a0030a0d5cc2ae949c56a86a7daf9226c7df7c2016d16" +dependencies = [ + "pyo3", + "serde", +] + [[package]] name = "serde_cbor" version = "0.11.2" @@ -3979,6 +4000,7 @@ version = "1.0.133" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "c7fceb2473b9166b2294ef05efcb65a3db80803f0b03ef86a5fc88a2b85ee377" dependencies = [ + "indexmap 2.6.0", "itoa", "memchr", "ryu", @@ -4430,6 +4452,7 @@ dependencies = [ name = "text-generation-router" version = "2.4.2-dev0" dependencies = [ + "anyhow", "async-stream", "async-trait", "axum 0.7.9", @@ -4453,6 +4476,7 @@ dependencies = [ "once_cell", "opentelemetry 0.20.0", "opentelemetry-otlp", + "outlines-core", "pyo3", "rand", "regex", diff --git a/crate-hashes.json b/crate-hashes.json new file mode 100644 index 00000000..2694759c --- /dev/null +++ b/crate-hashes.json @@ -0,0 +1,3 @@ +{ + "git+https://github.com/dottxt-ai/outlines-core.git?rev=ba10c619fc9bf3c487e43f49bdecb95a24bb465c#outlines-core@0.1.0": "1j9dcd831b0bmmjk2n4aag3x47qnqmkpg4gqpvwwyic7744llbfm" +} \ No newline at end of file diff --git a/integration-tests/models/__snapshots__/test_grammar_response_format_llama/test_grammar_response_format_llama_json.json b/integration-tests/models/__snapshots__/test_grammar_response_format_llama/test_grammar_response_format_llama_json.json index 2bd79b1d..38229e0a 100644 --- a/integration-tests/models/__snapshots__/test_grammar_response_format_llama/test_grammar_response_format_llama_json.json +++ b/integration-tests/models/__snapshots__/test_grammar_response_format_llama/test_grammar_response_format_llama_json.json @@ -1,23 +1,23 @@ { "choices": [ { - "finish_reason": "eos_token", + "finish_reason": "stop", "index": 0, "logprobs": null, "message": { - "content": "{ \"temperature\": [ 26, 30, 33, 29 ] ,\"unit\": \"Fahrenheit\" }", + "content": "{ \"unit\": \"fahrenheit\", \"temperature\": [ 72, 79, 88 ] }", "role": "assistant" } } ], - "created": 1718044128, + "created": 1732525803, "id": "", "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", - "object": "text_completion", - "system_fingerprint": "2.0.5-dev0-native", + "object": "chat.completion", + "system_fingerprint": "2.4.1-dev0-native", "usage": { - "completion_tokens": 39, + "completion_tokens": 29, "prompt_tokens": 136, - "total_tokens": 175 + "total_tokens": 165 } } diff --git a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools.json b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools.json index a4c34a10..33e223ba 100644 --- a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools.json +++ b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools.json @@ -1,7 +1,7 @@ { "choices": [ { - "finish_reason": "eos_token", + "finish_reason": "stop", "index": 0, "logprobs": null, "message": { @@ -13,12 +13,12 @@ "function": { "arguments": { "format": "celsius", - "location": "Brooklyn" + "location": "Brooklyn, New York" }, "description": null, "name": "get_current_weather" }, - "id": 0, + "id": "0", "type": "function" } ] @@ -26,14 +26,14 @@ "usage": null } ], - "created": 1712782670, + "created": 1732293383, "id": "", - "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", - "object": "text_completion", - "system_fingerprint": "2.0.1-native", + "model": "meta-llama/Llama-3.1-8B-Instruct", + "object": "chat.completion", + "system_fingerprint": "2.4.1-dev0-native", "usage": { - "completion_tokens": 37, - "prompt_tokens": 524, - "total_tokens": 561 + "completion_tokens": 30, + "prompt_tokens": 615, + "total_tokens": 645 } } diff --git a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_auto.json b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_auto.json index 04bcdc4e..92ffbbc1 100644 --- a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_auto.json +++ b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_auto.json @@ -1,7 +1,7 @@ { "choices": [ { - "finish_reason": "eos_token", + "finish_reason": "stop", "index": 0, "logprobs": null, "message": { @@ -13,12 +13,12 @@ "function": { "arguments": { "format": "celsius", - "location": "Brooklyn" + "location": "Brooklyn, New York" }, "description": null, "name": "get_current_weather" }, - "id": 0, + "id": "0", "type": "function" } ] @@ -26,14 +26,14 @@ "usage": null } ], - "created": 1712787937, + "created": 1732293384, "id": "", - "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", - "object": "text_completion", - "system_fingerprint": "2.0.1-native", + "model": "meta-llama/Llama-3.1-8B-Instruct", + "object": "chat.completion", + "system_fingerprint": "2.4.1-dev0-native", "usage": { - "completion_tokens": 37, - "prompt_tokens": 524, - "total_tokens": 561 + "completion_tokens": 30, + "prompt_tokens": 615, + "total_tokens": 645 } } diff --git a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_function_object.json b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_function_object.json index e64dd49d..bb8d61c8 100644 --- a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_function_object.json +++ b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_function_object.json @@ -18,10 +18,10 @@ "logprobs": null } ], - "created": 1729084854, + "created": 1732293254, "id": "", "model": "meta-llama/Llama-3.1-8B-Instruct", "object": "chat.completion.chunk", - "system_fingerprint": "2.3.2-dev0-native", + "system_fingerprint": "2.4.1-dev0-native", "usage": null } diff --git a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_required.json b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_required.json index d8d538d6..dbced5b8 100644 --- a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_required.json +++ b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_sea_creatures_stream_required.json @@ -19,10 +19,10 @@ "logprobs": null } ], - "created": 1729084850, + "created": 1732293246, "id": "", "model": "meta-llama/Llama-3.1-8B-Instruct", "object": "chat.completion.chunk", - "system_fingerprint": "2.3.2-dev0-native", + "system_fingerprint": "2.4.1-dev0-native", "usage": null } diff --git a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_stream.json b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_stream.json index f72a5d38..27d2f9ca 100644 --- a/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_stream.json +++ b/integration-tests/models/__snapshots__/test_tools_llama/test_flash_llama_grammar_tools_stream.json @@ -6,7 +6,7 @@ "role": "assistant", "tool_calls": { "function": { - "arguments": "", + "arguments": "<|eot_id|>", "name": null }, "id": "", @@ -14,14 +14,15 @@ "type": "function" } }, - "finish_reason": "eos_token", + "finish_reason": "stop", "index": 0, "logprobs": null } ], - "created": 1712788218, + "created": 1732293235, "id": "", - "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", - "object": "text_completion", - "system_fingerprint": "2.0.1-native" + "model": "meta-llama/Llama-3.1-8B-Instruct", + "object": "chat.completion.chunk", + "system_fingerprint": "2.4.1-dev0-native", + "usage": null } diff --git a/integration-tests/models/test_grammar_response_format_llama.py b/integration-tests/models/test_grammar_response_format_llama.py index 3c46cefe..f2a8a96d 100644 --- a/integration-tests/models/test_grammar_response_format_llama.py +++ b/integration-tests/models/test_grammar_response_format_llama.py @@ -55,7 +55,7 @@ async def test_grammar_response_format_llama_json(llama_grammar, response_snapsh called = chat_completion["choices"][0]["message"]["content"] assert response.status_code == 200 - assert called == '{ "temperature": [ 26, 30, 33, 29 ] ,"unit": "Fahrenheit" }' + assert called == '{ "unit": "fahrenheit", "temperature": [ 72, 79, 88 ] }' assert chat_completion == response_snapshot diff --git a/integration-tests/models/test_tools_llama.py b/integration-tests/models/test_tools_llama.py index b5821945..70c3aff0 100644 --- a/integration-tests/models/test_tools_llama.py +++ b/integration-tests/models/test_tools_llama.py @@ -101,7 +101,7 @@ async def test_flash_llama_grammar_tools(flash_llama_grammar_tools, response_sna "function": { "description": None, "name": "get_current_weather", - "arguments": {"format": "celsius", "location": "Brooklyn, NY"}, + "arguments": {"format": "celsius", "location": "Brooklyn, New York"}, }, } ] @@ -138,7 +138,7 @@ async def test_flash_llama_grammar_tools_auto( "function": { "description": None, "name": "get_current_weather", - "arguments": {"format": "celsius", "location": "Brooklyn, NY"}, + "arguments": {"format": "celsius", "location": "Brooklyn, New York"}, }, } ] @@ -219,7 +219,7 @@ async def test_flash_llama_grammar_tools_stream( assert ( tool_calls_generated - == '{"function": {"_name": "get_current_weather", "format": "celsius", "location": "Paris, France"}}<|eot_id|>' + == '{"function": {"_name": "get_current_weather", "location": "Paris, France", "format": "celsius"}}<|eot_id|>' ) assert count == 28 assert last_response == response_snapshot @@ -366,7 +366,7 @@ async def test_flash_llama_grammar_tools_sea_creatures_stream_required( assert count == 29 assert ( tool_calls_generated - == '{"function": {"_name": "get_current_weather", "format": "celsius", "location": "San Francisco, CA"}}<|eot_id|>' + == '{"function": {"_name": "get_current_weather", "location": "San Francisco, CA", "format": "celsius"}}<|eot_id|>' ) assert last_response == response_snapshot @@ -465,6 +465,6 @@ async def test_flash_llama_grammar_tools_sea_creatures_stream_function_object( assert count == 39 assert ( tool_calls_generated - == '{"function": {"_name": "get_n_day_weather_forecast", "format": "celsius", "location": "San Francisco, CA", "num_days":3}}<|eot_id|>' + == '{"function": {"_name": "get_n_day_weather_forecast", "location": "San Francisco, CA", "format": "celsius", "num_days":3}}<|eot_id|>' ) assert last_response == response_snapshot diff --git a/router/Cargo.toml b/router/Cargo.toml index 83d85327..9258fe03 100644 --- a/router/Cargo.toml +++ b/router/Cargo.toml @@ -8,6 +8,7 @@ authors.workspace = true homepage.workspace = true [dependencies] +anyhow = "1" async-trait = "0.1.74" async-stream = "0.3.5" axum = { version = "0.7", features = ["json"] } @@ -22,6 +23,7 @@ metrics-exporter-prometheus = { workspace = true } nohash-hasher = "0.2.0" opentelemetry = { version = "0.20.0", features = ["rt-tokio"] } opentelemetry-otlp = "0.13.0" +outlines-core = { git = "https://github.com/dottxt-ai/outlines-core.git", rev = "ba10c619fc9bf3c487e43f49bdecb95a24bb465c" } rand = "0.8.5" reqwest = { version = "0.11.20", features = [] } serde = "1.0.188" diff --git a/router/src/infer/chat_template.rs b/router/src/infer/chat_template.rs index ceba14a6..f5f1dbca 100644 --- a/router/src/infer/chat_template.rs +++ b/router/src/infer/chat_template.rs @@ -804,7 +804,7 @@ mod tests { let tool_prompt = "This default prompt will be used".to_string(); let tools_and_prompt = Some((tools, tool_prompt)); let result = ct.apply(msgs, tools_and_prompt); - let expected = "[INST] I'd like to show off how chat templating works! [/INST]Great! How can I help you today? [INST] Just testing\n---\n[{\"type\":\"function\",\"function\":{\"description\":\"Get the current weather\",\"name\":\"get_current_weather\",\"arguments\":{\"properties\":{\"format\":{\"description\":\"The temperature unit to use. Infer this from the users location.\",\"enum\":[\"celsius\",\"fahrenheit\"],\"type\":\"string\"},\"location\":{\"description\":\"The city and state, e.g. San Francisco, CA\",\"type\":\"string\"}},\"required\":[\"location\",\"format\"],\"type\":\"object\"}}}]\nThis default prompt will be used [/INST]".to_string(); + let expected = "[INST] I'd like to show off how chat templating works! [/INST]Great! How can I help you today? [INST] Just testing\n---\n[{\"type\":\"function\",\"function\":{\"description\":\"Get the current weather\",\"name\":\"get_current_weather\",\"arguments\":{\"type\":\"object\",\"properties\":{\"location\":{\"type\":\"string\",\"description\":\"The city and state, e.g. San Francisco, CA\"},\"format\":{\"type\":\"string\",\"enum\":[\"celsius\",\"fahrenheit\"],\"description\":\"The temperature unit to use. Infer this from the users location.\"}},\"required\":[\"location\",\"format\"]}}}]\nThis default prompt will be used [/INST]".to_string(); assert_eq!(result.unwrap(), expected); } diff --git a/router/src/validation.rs b/router/src/validation.rs index 3cd85a6e..032638ab 100644 --- a/router/src/validation.rs +++ b/router/src/validation.rs @@ -9,6 +9,7 @@ use crate::{PyTokenizer, Tokenizer}; use base64::{engine::general_purpose::STANDARD, Engine}; use image::{ImageFormat, ImageReader}; use jsonschema::{Draft, JSONSchema}; +use outlines_core::json_schema::to_regex as json_schema_to_regex; use rand::{thread_rng, Rng}; use serde_json::Value; use std::io::Cursor; @@ -351,11 +352,13 @@ impl Validation { "Grammar must have a 'properties' field".to_string(), ))?; - // Serialize json to string - ValidGrammar::Json( - serde_json::to_string(&json) - .map_err(|e| ValidationError::InvalidGrammar(e.to_string()))?, - ) + // Do compilation in the router for performance. In the future, we + // should also move regex -> automaton compilation in the router, + // but this is not yet supported in pure Rust by outlines-core. + let grammar_regex = json_schema_to_regex(&json, None, &json) + .map_err(ValidationError::RegexFromSchema)?; + + ValidGrammar::Regex(grammar_regex.to_string()) } GrammarType::Regex(regex) => ValidGrammar::Regex(regex), }; @@ -810,6 +813,8 @@ pub enum ValidationError { Grammar, #[error("grammar is not valid: {0}")] InvalidGrammar(String), + #[error("cannot compile regex from schema: {0}")] + RegexFromSchema(anyhow::Error), #[error("base64 encoding is invalid: {0}")] InvalidBase64(#[from] base64::DecodeError), #[error("invalid image: {0}")] diff --git a/server/text_generation_server/utils/logits_process.py b/server/text_generation_server/utils/logits_process.py index d53f070c..132e441b 100644 --- a/server/text_generation_server/utils/logits_process.py +++ b/server/text_generation_server/utils/logits_process.py @@ -1,19 +1,19 @@ +from functools import lru_cache import math +import time import torch +from typing import List, Optional, DefaultDict from loguru import logger from typing import Dict, Union from text_generation_server.pb.generate_pb2 import GrammarType from outlines.fsm.guide import RegexGuide -from outlines.fsm.json_schema import build_regex_from_schema -from functools import lru_cache -from typing import List, Optional, DefaultDict -import time from transformers import ( LogitsWarper, LogitsProcessor, + PreTrainedTokenizerBase, TemperatureLogitsWarper, TopKLogitsWarper, TopPLogitsWarper, @@ -484,7 +484,13 @@ class GrammarLogitProcessor(LogitsProcessor): fsm_state: DefaultDict[int, int] fsm: RegexGuide - def __init__(self, tokenizer, device, grammar, grammar_type): + def __init__( + self, + tokenizer: Optional[PreTrainedTokenizerBase], + device: str, + grammar: str, + grammar_type: GrammarType, + ): self.device = device self.tokenizer = GrammarLogitProcessor._cached_adapt_tokenizer(tokenizer) self.fsm = GrammarLogitProcessor._cached_compile_fsm( @@ -519,18 +525,20 @@ class GrammarLogitProcessor(LogitsProcessor): # TODO: move grammar compilation into the router @staticmethod @lru_cache(maxsize=32, typed=True) - def _cached_compile_fsm(grammar_type, schema, tokenizer): + def _cached_compile_fsm( + grammar_type: GrammarType, + schema: str, + tokenizer: Optional[PreTrainedTokenizerBase], + ): start_time = time.time() if grammar_type == GrammarType.GRAMMAR_TYPE_JSON: - try: - schema = build_regex_from_schema(schema) - # TODO: this is only here short term to avoid crashing the python server, mid term we want this in the rust/router layer - except Exception as e: - logger.error(f"Error compiling FSM, grammar won't be enforced \n{e}") - # allows everything - schema = "(.*?)" - elif grammar_type == GrammarType.GRAMMAR_TYPE_REGEX: - pass # schema is already a regex just here for clarity + # JSON schema is compiled by the v3 router. + logger.error( + "Non-regex grammars must be compiled by the router, grammar won't be enforced" + ) + # allows everything + schema = "(.*?)" + fsm = RegexGuide.from_regex(schema, tokenizer) logger.debug(f"Compiled FSM in {time.time() - start_time:.2f}s") return fsm From 72ab60fdd588266be85ff469eeb07b6c42e2f56a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dani=C3=ABl=20de=20Kok?= Date: Tue, 26 Nov 2024 08:27:41 +0100 Subject: [PATCH 03/31] Use FP8 KV cache when specified by compressed-tensors (#2761) The compressed-tensors configuration can specify the configuration of the KV cache as well. Use an FP8 KV cache when the configuration tells us to do so (all other options and types are ignored for now). --- .../text_generation_server/models/__init__.py | 39 ++++++++++++++++--- 1 file changed, 33 insertions(+), 6 deletions(-) diff --git a/server/text_generation_server/models/__init__.py b/server/text_generation_server/models/__init__.py index 89164577..fcc79608 100644 --- a/server/text_generation_server/models/__init__.py +++ b/server/text_generation_server/models/__init__.py @@ -1,6 +1,11 @@ # ruff: noqa: F821 # the above line disables the `undefined-name` rule for the model type variables +from compressed_tensors.compressors.model_compressors.model_compressor import ( + QuantizationConfig, +) +from compressed_tensors.quantization import QuantizationType +from pydantic import ValidationError import torch import enum import os @@ -23,6 +28,7 @@ from text_generation_server.models.bloom import BloomCausalLMBatch from text_generation_server.models.custom_modeling.bloom_modeling import ( BloomForCausalLM, ) +from text_generation_server.models.globals import ATTENTION from text_generation_server.models.seq2seq_lm import Seq2SeqLM from text_generation_server.models.galactica import GalacticaCausalLMBatch from text_generation_server.models.custom_modeling.neox_modeling import ( @@ -367,7 +373,8 @@ def get_model( model_type = config_dict.get("model_type", None) quantization_config = config_dict.get("quantization_config", None) - compression_config = config_dict.get("compression_config", None) + if quantization_config is None: + quantization_config = config_dict.get("compression_config", None) if quantization_config is not None and quantize is None: method = quantization_config.get("quant_method", None) if method in {"gptq", "awq", "exl2"}: @@ -381,12 +388,9 @@ def get_model( logger.info, "Auto selecting quantization method compressed-tensors" ) quantize = "compressed-tensors" + else: log_master(logger.warning, f"Unknown quantization method {method}") - elif compression_config is not None: - # `compression_config` renamed to `quantization_config`; support retained for backward compatibility. - log_master(logger.info, "Auto selecting quantization method compressed-tensors") - quantize = "compressed-tensors" if dtype is None: if quantize in ["awq", "exl2", "gptq", "marlin"]: @@ -408,8 +412,31 @@ def get_model( else: raise RuntimeError(f"Unknown dtype {dtype}") + compressed_tensors_config = None + if quantize == "compressed-tensors": + try: + compressed_tensors_config = QuantizationConfig.model_validate( + quantization_config + ) + except ValidationError as e: + raise ValueError("Cannot parse compressed-tensors configuration") from e + if kv_cache_dtype is None: - kv_cache_dtype = dtype + kv_cache_scheme = ( + compressed_tensors_config.kv_cache_scheme + if isinstance(compressed_tensors_config, QuantizationConfig) + else None + ) + if ( + kv_cache_scheme is not None + and kv_cache_scheme.type == QuantizationType.FLOAT + and kv_cache_scheme.num_bits == 8 + and SYSTEM == "cuda" + and ATTENTION == "flashinfer" + ): + kv_cache_dtype = torch.float8_e4m3fn + else: + kv_cache_dtype = dtype elif kv_cache_dtype == "fp8_e4m3fn": kv_cache_dtype = torch.float8_e4m3fn elif kv_cache_dtype == "fp8_e5m2": From 892a26e5493f4793c232bae67bc0401ff123bac0 Mon Sep 17 00:00:00 2001 From: "Wang, Yi" Date: Tue, 26 Nov 2024 21:28:11 +0800 Subject: [PATCH 04/31] =?UTF-8?q?upgrade=20ipex=20cpu=20to=20fix=20coredum?= =?UTF-8?q?p=20in=20tiiuae/falcon-7b-instruct=20(pageat=E2=80=A6=20(#2778)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit upgrade ipex cpu to fix coredump in tiiuae/falcon-7b-instruct (pageattention) Signed-off-by: Wang,Yi A --- Dockerfile_intel | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/Dockerfile_intel b/Dockerfile_intel index fea04176..2e33d3df 100644 --- a/Dockerfile_intel +++ b/Dockerfile_intel @@ -197,9 +197,10 @@ RUN pip install triton py-libnuma WORKDIR /usr/src -RUN git clone https://github.com/intel/intel-extension-for-pytorch && cd intel-extension-for-pytorch && git checkout 2e1c98f74ec1b35ad8dd1ebe7dd4b25470f2fd41 +RUN git clone https://github.com/intel/intel-extension-for-pytorch && cd intel-extension-for-pytorch && git checkout b7b552baf64283b594665b8687430fe92990e497 RUN git clone https://github.com/intel/torch-ccl.git && cd torch-ccl && git checkout v2.4.0+cpu+rc0 +RUN sed -i 's/VERSION_MINOR 6/VERSION_MINOR 5/' intel-extension-for-pytorch/version.txt RUN cd intel-extension-for-pytorch && git submodule sync && git submodule update --init --recursive && python setup.py install RUN cd torch-ccl && git submodule sync && git submodule update --init --recursive && pip install . From caff779dd422624279f3694ac956873663c4f6a0 Mon Sep 17 00:00:00 2001 From: jp Date: Tue, 26 Nov 2024 22:28:58 +0900 Subject: [PATCH 05/31] Fix: docs typo (#2777) Fix: typo in model loading code Fix typo in model loading code --- docs/source/supported_models.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/supported_models.md b/docs/source/supported_models.md index 55449e47..0f39ff28 100644 --- a/docs/source/supported_models.md +++ b/docs/source/supported_models.md @@ -43,7 +43,7 @@ If the above list lacks the model you would like to serve, depending on the mode ```python # for causal LMs/text-generation models -AutoModelForCausalLM.from_pretrained(, device_map="auto")` +AutoModelForCausalLM.from_pretrained(, device_map="auto") # or, for text-to-text generation models AutoModelForSeq2SeqLM.from_pretrained(, device_map="auto") ``` From d47180513468d4f8f7737b523664cfec28a42716 Mon Sep 17 00:00:00 2001 From: drbh Date: Wed, 27 Nov 2024 19:13:30 -0500 Subject: [PATCH 06/31] Support continue final message (#2733) * feat: support continue_final_message param in chat request * feat: add test for continue final message * fix: bump openapi docs * fix: remove continue_final_message chat request param * fix: remove unneeded launcher args in continue test * fix: bump test output * fix: remove accidentally included guideline from rebase * fix: remove guideline tests * fix: adjust continuation tests expected text * fix: replace expected output for continue test --- .../test_llama_completion_single_prompt.json | 23 ++++++ ...ama_completion_single_prompt_continue.json | 23 ++++++ .../models/test_continue_final_message.py | 76 +++++++++++++++++++ router/src/infer/chat_template.rs | 24 +++++- 4 files changed, 143 insertions(+), 3 deletions(-) create mode 100644 integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt.json create mode 100644 integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt_continue.json create mode 100644 integration-tests/models/test_continue_final_message.py diff --git a/integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt.json b/integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt.json new file mode 100644 index 00000000..0bea487c --- /dev/null +++ b/integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt.json @@ -0,0 +1,23 @@ +{ + "choices": [ + { + "finish_reason": "length", + "index": 0, + "logprobs": null, + "message": { + "content": "Both an elephant and a mouse are mammals. However, the differences between elephants and mice are:\n\n1", + "role": "assistant" + } + } + ], + "created": 1732541189, + "id": "", + "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", + "object": "chat.completion", + "system_fingerprint": "2.4.1-dev0-native", + "usage": { + "completion_tokens": 30, + "prompt_tokens": 49, + "total_tokens": 79 + } +} diff --git a/integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt_continue.json b/integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt_continue.json new file mode 100644 index 00000000..100fb338 --- /dev/null +++ b/integration-tests/models/__snapshots__/test_continue_final_message/test_llama_completion_single_prompt_continue.json @@ -0,0 +1,23 @@ +{ + "choices": [ + { + "finish_reason": "length", + "index": 0, + "logprobs": null, + "message": { + "content": " the royal mouse? It is a little more slender and only weighs around 1.5 pounds for males and 1.3 pounds", + "role": "assistant" + } + } + ], + "created": 1732541190, + "id": "", + "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", + "object": "chat.completion", + "system_fingerprint": "2.4.1-dev0-native", + "usage": { + "completion_tokens": 30, + "prompt_tokens": 73, + "total_tokens": 103 + } +} diff --git a/integration-tests/models/test_continue_final_message.py b/integration-tests/models/test_continue_final_message.py new file mode 100644 index 00000000..01c86dcd --- /dev/null +++ b/integration-tests/models/test_continue_final_message.py @@ -0,0 +1,76 @@ +import pytest +import requests + + +@pytest.fixture(scope="module") +def llama_continue_final_message_handle(launcher): + with launcher("TinyLlama/TinyLlama-1.1B-Chat-v1.0") as handle: + yield handle + + +@pytest.fixture(scope="module") +async def llama_continue_final_message(llama_continue_final_message_handle): + await llama_continue_final_message_handle.health(300) + return llama_continue_final_message_handle.client + + +def test_llama_completion_single_prompt( + llama_continue_final_message, response_snapshot +): + response = requests.post( + f"{llama_continue_final_message.base_url}/v1/chat/completions", + json={ + "model": "tgi", + "messages": [ + {"role": "system", "content": "system message"}, + {"role": "user", "content": "Which is bigger an elephant or a mouse?"}, + ], + "max_tokens": 30, + "stream": False, + "seed": 1337, + }, + headers=llama_continue_final_message.headers, + stream=False, + ) + response = response.json() + print(response) + assert len(response["choices"]) == 1 + content = response["choices"][0]["message"]["content"] + assert ( + content + == "Both an elephant and a mouse are mammals. However, the differences between elephants and mice are:\n\n1" + ) + assert response == response_snapshot + + +def test_llama_completion_single_prompt_continue( + llama_continue_final_message, response_snapshot +): + response = requests.post( + f"{llama_continue_final_message.base_url}/v1/chat/completions", + json={ + "model": "tgi", + "messages": [ + {"role": "system", "content": "system message"}, + {"role": "user", "content": "Which is bigger an elephant or a mouse?"}, + { + "role": "assistant", + "content": "the elephant, but have you heard about", + }, + ], + "max_tokens": 30, + "stream": False, + "seed": 1337, + }, + headers=llama_continue_final_message.headers, + stream=False, + ) + response = response.json() + print(response) + assert len(response["choices"]) == 1 + content = response["choices"][0]["message"]["content"] + assert ( + content + == " the royal mouse? It is a little more slender and only weighs around 1.5 pounds for males and 1.3 pounds" + ) + assert response == response_snapshot diff --git a/router/src/infer/chat_template.rs b/router/src/infer/chat_template.rs index f5f1dbca..2bda7193 100644 --- a/router/src/infer/chat_template.rs +++ b/router/src/infer/chat_template.rs @@ -75,8 +75,9 @@ impl ChatTemplate { }; let messages: Vec = messages.into_iter().map(|c| c.into()).collect(); - - self.template + let final_message = messages.last().cloned(); + let mut rendered_template = self + .template .render(ChatTemplateInputs { messages, bos_token: self.bos_token.as_deref(), @@ -84,7 +85,24 @@ impl ChatTemplate { add_generation_prompt: true, tools, }) - .map_err(InferError::TemplateError) + .map_err(InferError::TemplateError)?; + + // if the last message is from the assistant, continue the generation prompt + rendered_template = match final_message { + Some(msg) if msg.role == "assistant" => { + match rendered_template.rfind(msg.content.as_str()) { + // implementation based on feature in transformers pipeline + // https://github.com/huggingface/transformers/blob/1cf17077bf2d4affed31387c0943251a4ba8fab7/src/transformers/pipelines/text_generation.py#L418 + Some(index) => rendered_template[..index + msg.content.len()] + .trim_end() + .to_string(), + None => rendered_template, + } + } + _ => rendered_template, + }; + + Ok(rendered_template) } } From 1d2cb356b93244959371202ff2c770cfb325f3da Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Mon, 2 Dec 2024 09:58:26 +0530 Subject: [PATCH 07/31] Fix doc. (#2792) --- update_doc.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/update_doc.py b/update_doc.py index 6357cc00..28430b1a 100644 --- a/update_doc.py +++ b/update_doc.py @@ -16,7 +16,7 @@ If the above list lacks the model you would like to serve, depending on the mode ```python # for causal LMs/text-generation models -AutoModelForCausalLM.from_pretrained(, device_map="auto")` +AutoModelForCausalLM.from_pretrained(, device_map="auto") # or, for text-to-text generation models AutoModelForSeq2SeqLM.from_pretrained(, device_map="auto") ``` From a35d1e6fe5c7589883623aa4f9f8aea4feaa356d Mon Sep 17 00:00:00 2001 From: Torsten Raudssus Date: Mon, 2 Dec 2024 05:48:55 +0100 Subject: [PATCH 08/31] Removing ../ that broke the link (#2789) --- docs/source/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/index.md b/docs/source/index.md index 309442b1..9a6e1774 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -19,7 +19,7 @@ Text Generation Inference implements many optimizations and features, such as: - Stop sequences - Log probabilities - Fine-tuning Support: Utilize fine-tuned models for specific tasks to achieve higher accuracy and performance. -- [Guidance](../conceptual/guidance): Enable function calling and tool-use by forcing the model to generate structured outputs based on your own predefined output schemas. +- [Guidance](conceptual/guidance): Enable function calling and tool-use by forcing the model to generate structured outputs based on your own predefined output schemas. Text Generation Inference is used in production by multiple projects, such as: From 2c74c5563792706ab2993ce9c1190ddd17c84d80 Mon Sep 17 00:00:00 2001 From: drbh Date: Sun, 1 Dec 2024 23:52:02 -0500 Subject: [PATCH 09/31] fix: add merge-lora arg for model id (#2788) --- launcher/src/main.rs | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/launcher/src/main.rs b/launcher/src/main.rs index fc40bdb1..72bd0ebd 100644 --- a/launcher/src/main.rs +++ b/launcher/src/main.rs @@ -1193,6 +1193,7 @@ fn download_convert_model( huggingface_hub_cache: Option<&str>, weights_cache_override: Option<&str>, running: Arc, + merge_lora: bool, ) -> Result<(), LauncherError> { // Enter download tracing span let _span = tracing::span!(tracing::Level::INFO, "download").entered(); @@ -1207,6 +1208,10 @@ fn download_convert_model( "--json-output".to_string(), ]; + if merge_lora { + download_args.push("--merge-lora".to_string()); + } + // Model optional revision if let Some(revision) = &revision { download_args.push("--revision".to_string()); @@ -1842,6 +1847,7 @@ fn main() -> Result<(), LauncherError> { args.huggingface_hub_cache.as_deref(), args.weights_cache_override.as_deref(), running.clone(), + true, // if its only a lora model - we should merge the lora adapters )?; // Download and convert lora adapters if any @@ -1875,6 +1881,7 @@ fn main() -> Result<(), LauncherError> { args.huggingface_hub_cache.as_deref(), args.weights_cache_override.as_deref(), running.clone(), + false, // avoid merging lora adapters if using multi-lora )?; } else { return Err(LauncherError::ArgumentValidation(format!( From 535149d872db15b3aeea93c3413893b7cf77e696 Mon Sep 17 00:00:00 2001 From: Dmitry Rogozhkin Date: Sun, 1 Dec 2024 21:26:37 -0800 Subject: [PATCH 10/31] fix: only use eos_token_id as pad_token_id if int (#2774) LLama 3 has a list of values as eos_token_id: "['<|end_of_text|>', '<|eom_id|>', '<|eot_id|>']" This breaks tokenizer since it expects single value. This commit uses tokenizer.eos_token_id instead in such a case. Fixes: #2440 Signed-off-by: Dmitry Rogozhkin --- server/text_generation_server/models/causal_lm.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/server/text_generation_server/models/causal_lm.py b/server/text_generation_server/models/causal_lm.py index bd8176be..82407de3 100644 --- a/server/text_generation_server/models/causal_lm.py +++ b/server/text_generation_server/models/causal_lm.py @@ -630,7 +630,7 @@ class CausalLM(Model): if tokenizer.pad_token_id is None: if model.config.pad_token_id is not None: tokenizer.pad_token_id = model.config.pad_token_id - elif model.config.eos_token_id is not None: + elif model.config.eos_token_id is not None and isinstance(model.config.eos_token_id, int): tokenizer.pad_token_id = model.config.eos_token_id elif tokenizer.eos_token_id is not None: tokenizer.pad_token_id = tokenizer.eos_token_id From 2003d8be0c02a59cecafc035090f8bcdd64b85d9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dani=C3=ABl=20de=20Kok?= Date: Tue, 3 Dec 2024 04:04:06 +0100 Subject: [PATCH 11/31] Sync (most) server dependencies with Nix (#2782) * Sync (most) server dependencies with Nix Skipped most grpcio packages, because of protobuf version incompatibility with the opentelemetry packages. * Add a primitive script to generate Poetry commands to sync with Nix This is not fully automated, since getting the Nix versions may be unresolvable. However, it does take most of the work out of doing this manually. * Upgrade eetq ? * Fmt. --------- Co-authored-by: Nicolas Patry --- flake.nix | 2 + server/Makefile-eetq | 2 +- server/bounds-from-nix.py | 40 + server/poetry.lock | 801 +++++++++--------- server/pyproject.toml | 42 +- server/requirements_cuda.txt | 37 +- server/requirements_intel.txt | 37 +- server/requirements_rocm.txt | 37 +- .../models/causal_lm.py | 4 +- 9 files changed, 540 insertions(+), 462 deletions(-) create mode 100755 server/bounds-from-nix.py diff --git a/flake.nix b/flake.nix index f26a983e..83cedfa6 100644 --- a/flake.nix +++ b/flake.nix @@ -148,6 +148,8 @@ }; packages = rec { + inherit server; + default = pkgs.writeShellApplication { name = "text-generation-inference"; runtimeInputs = [ diff --git a/server/Makefile-eetq b/server/Makefile-eetq index 726e47b5..5b53122b 100644 --- a/server/Makefile-eetq +++ b/server/Makefile-eetq @@ -1,4 +1,4 @@ -eetq_commit := 1657b1504faa359e2ce0ac02999439d7ac8c74c0 +eetq_commit := 81e0b14d64088d58ef6acd2c8f3e788d59324407 eetq: # Clone eetq diff --git a/server/bounds-from-nix.py b/server/bounds-from-nix.py new file mode 100755 index 00000000..42422b8b --- /dev/null +++ b/server/bounds-from-nix.py @@ -0,0 +1,40 @@ +#!/usr/bin/env python3 + +import json +import subprocess +from typing import Dict, Union +import toml + +# Special cases that have download URLs. +SKIP = {"attention-kernels", "marlin-kernels", "moe-kernels"} + + +def is_optional(info: Union[str, Dict[str, str]]) -> bool: + return isinstance(info, dict) and "optional" in info and info["optional"] + + +if __name__ == "__main__": + with open("pyproject.toml") as f: + pyproject = toml.load(f) + + nix_packages = json.loads( + subprocess.run( + ["nix", "develop", ".#server", "--command", "pip", "list", "--format=json"], + stdout=subprocess.PIPE, + ).stdout + ) + + nix_packages = {pkg["name"]: pkg["version"] for pkg in nix_packages} + + packages = [] + optional_packages = [] + + for package, info in pyproject["tool"]["poetry"]["dependencies"].items(): + if package in nix_packages and package not in SKIP: + if is_optional(info): + optional_packages.append(f'"{package}@^{nix_packages[package]}"') + else: + packages.append(f'"{package}@^{nix_packages[package]}"') + + print(f"poetry add {' '.join(packages)}") + print(f"poetry add --optional {' '.join(optional_packages)}") diff --git a/server/poetry.lock b/server/poetry.lock index fc8404c8..7cf440dd 100644 --- a/server/poetry.lock +++ b/server/poetry.lock @@ -2,33 +2,34 @@ [[package]] name = "accelerate" -version = "0.29.3" +version = "1.1.1" description = "Accelerate" optional = true -python-versions = ">=3.8.0" +python-versions = ">=3.9.0" files = [ - {file = "accelerate-0.29.3-py3-none-any.whl", hash = "sha256:99d633d4b6126817c5e554487406748be95c8d1d1e659dd2fd60657e35f532dd"}, - {file = "accelerate-0.29.3.tar.gz", hash = "sha256:1a5a845b06b24b41736b219b2b20fd021ca5dff4070a252445fd6de736e347ac"}, + {file = 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"evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.6.4,<0.7.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.6.4,<0.7.0)"] rich = ["rich"] sagemaker = ["sagemaker"] -test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"] test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"] test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"] -testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"] [[package]] name = "aiohappyeyeballs" @@ -576,13 +577,13 @@ files = [ [[package]] name = "einops" -version = "0.6.1" +version = "0.8.0" description = "A new flavour of deep learning operations" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "einops-0.6.1-py3-none-any.whl", hash = "sha256:99149e46cc808956b174932fe563d920db4d6e5dadb8c6ecdaa7483b7ef7cfc3"}, - {file = "einops-0.6.1.tar.gz", hash = "sha256:f95f8d00f4ded90dbc4b19b6f98b177332614b0357dde66997f3ae5d474dc8c8"}, + {file = "einops-0.8.0-py3-none-any.whl", hash = "sha256:9572fb63046264a862693b0a87088af3bdc8c068fde03de63453cbbde245465f"}, + {file = 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python_version >= "3.9" and python_version < "3.13" click==8.1.7 ; python_version >= "3.9" and python_version < "3.13" colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows") deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13" -einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13" +einops==0.8.0 ; python_version >= "3.9" and python_version < "3.13" filelock==3.16.1 ; python_version >= "3.9" and python_version < "3.13" fsspec==2024.6.1 ; python_version >= "3.9" and python_version < "3.13" googleapis-common-protos==1.65.0 ; python_version >= "3.9" and python_version < "3.13" grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13" grpcio-reflection==1.62.3 ; python_version >= "3.9" and python_version < "3.13" grpcio-status==1.62.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio==1.67.0 ; python_version >= "3.9" and python_version < "3.13" +grpcio==1.68.0 ; python_version >= "3.9" and python_version < "3.13" hf-transfer==0.1.8 ; python_version >= "3.9" and python_version < "3.13" huggingface-hub==0.23.5 ; python_version >= "3.9" and python_version < "3.13" idna==3.10 ; python_version >= "3.9" and python_version < "3.13" importlib-metadata==7.1.0 ; python_version >= "3.9" and python_version < "3.13" -loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13" +loguru==0.7.2 ; python_version >= "3.9" and python_version < "3.13" markdown-it-py==3.0.0 ; python_version >= "3.9" and python_version < "3.13" mdurl==0.1.2 ; python_version >= "3.9" and python_version < "3.13" numpy==1.26.4 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-api==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-common==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-grpc==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-http==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation-grpc==0.46b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation==0.46b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-proto==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-sdk==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-semantic-conventions==0.46b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-api==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-common==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-grpc==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-http==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation-grpc==0.48b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation==0.48b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-proto==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-sdk==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-semantic-conventions==0.48b0 ; python_version >= "3.9" and python_version < "3.13" packaging==24.1 ; python_version >= "3.9" and python_version < "3.13" -pillow==10.4.0 ; python_version >= "3.9" and python_version < "3.13" +pillow==11.0.0 ; python_version >= "3.9" and python_version < "3.13" prometheus-client==0.20.0 ; python_version >= "3.9" and python_version < "3.13" protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13" py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13" @@ -38,15 +38,16 @@ pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13" pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13" regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13" requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13" -rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13" +rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13" safetensors==0.4.5 ; python_version >= "3.9" and python_version < "3.13" scipy==1.13.1 ; python_version >= "3.9" and python_version < "3.13" sentencepiece==0.2.0 ; python_version >= "3.9" and python_version < "3.13" setuptools==75.2.0 ; python_version >= "3.9" and python_version < "3.13" -tokenizers==0.20.1 ; python_version >= "3.9" and python_version < "3.13" +shellingham==1.5.4 ; python_version >= "3.9" and python_version < "3.13" +tokenizers==0.20.3 ; python_version >= "3.9" and python_version < "3.13" tqdm==4.66.5 ; python_version >= "3.9" and python_version < "3.13" -transformers==4.46.0 ; python_version >= "3.9" and python_version < "3.13" -typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13" +transformers==4.46.3 ; python_version >= "3.9" and python_version < "3.13" +typer==0.12.5 ; python_version >= "3.9" and python_version < "3.13" typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.13" urllib3==2.2.3 ; python_version >= "3.9" and python_version < "3.13" win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32" diff --git a/server/requirements_intel.txt b/server/requirements_intel.txt index ad4ea56b..ee75b2b5 100644 --- a/server/requirements_intel.txt +++ b/server/requirements_intel.txt @@ -3,34 +3,34 @@ charset-normalizer==3.4.0 ; python_version >= "3.9" and python_version < "3.13" click==8.1.7 ; python_version >= "3.9" and python_version < "3.13" colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows") deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13" -einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13" +einops==0.8.0 ; python_version >= "3.9" and python_version < "3.13" filelock==3.16.1 ; python_version >= "3.9" and python_version < "3.13" fsspec==2024.6.1 ; python_version >= "3.9" and python_version < "3.13" googleapis-common-protos==1.65.0 ; python_version >= "3.9" and python_version < "3.13" grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13" grpcio-reflection==1.62.3 ; python_version >= "3.9" and python_version < "3.13" grpcio-status==1.62.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio==1.67.0 ; python_version >= "3.9" and python_version < "3.13" +grpcio==1.68.0 ; python_version >= "3.9" and python_version < "3.13" hf-transfer==0.1.8 ; python_version >= "3.9" and python_version < "3.13" huggingface-hub==0.23.5 ; python_version >= "3.9" and python_version < "3.13" idna==3.10 ; python_version >= "3.9" and python_version < "3.13" importlib-metadata==7.1.0 ; python_version >= "3.9" and python_version < "3.13" -loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13" +loguru==0.7.2 ; python_version >= "3.9" and python_version < "3.13" markdown-it-py==3.0.0 ; python_version >= "3.9" and python_version < "3.13" mdurl==0.1.2 ; python_version >= "3.9" and python_version < "3.13" numpy==1.26.4 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-api==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-common==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-grpc==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-http==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation-grpc==0.46b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation==0.46b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-proto==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-sdk==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-semantic-conventions==0.46b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-api==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-common==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-grpc==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-http==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation-grpc==0.48b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation==0.48b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-proto==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-sdk==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-semantic-conventions==0.48b0 ; python_version >= "3.9" and python_version < "3.13" packaging==24.1 ; python_version >= "3.9" and python_version < "3.13" -pillow==10.4.0 ; python_version >= "3.9" and python_version < "3.13" +pillow==11.0.0 ; python_version >= "3.9" and python_version < "3.13" prometheus-client==0.20.0 ; python_version >= "3.9" and python_version < "3.13" protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13" py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13" @@ -38,15 +38,16 @@ pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13" pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13" regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13" requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13" -rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13" +rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13" safetensors==0.4.5 ; python_version >= "3.9" and python_version < "3.13" scipy==1.13.1 ; python_version >= "3.9" and python_version < "3.13" sentencepiece==0.2.0 ; python_version >= "3.9" and python_version < "3.13" setuptools==75.2.0 ; python_version >= "3.9" and python_version < "3.13" -tokenizers==0.20.1 ; python_version >= "3.9" and python_version < "3.13" +shellingham==1.5.4 ; python_version >= "3.9" and python_version < "3.13" +tokenizers==0.20.3 ; python_version >= "3.9" and python_version < "3.13" tqdm==4.66.5 ; python_version >= "3.9" and python_version < "3.13" -transformers==4.46.0 ; python_version >= "3.9" and python_version < "3.13" -typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13" +transformers==4.46.3 ; python_version >= "3.9" and python_version < "3.13" +typer==0.12.5 ; python_version >= "3.9" and python_version < "3.13" typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.13" urllib3==2.2.3 ; python_version >= "3.9" and python_version < "3.13" win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32" diff --git a/server/requirements_rocm.txt b/server/requirements_rocm.txt index ad4ea56b..ee75b2b5 100644 --- a/server/requirements_rocm.txt +++ b/server/requirements_rocm.txt @@ -3,34 +3,34 @@ charset-normalizer==3.4.0 ; python_version >= "3.9" and python_version < "3.13" click==8.1.7 ; python_version >= "3.9" and python_version < "3.13" colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows") deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13" -einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13" +einops==0.8.0 ; python_version >= "3.9" and python_version < "3.13" filelock==3.16.1 ; python_version >= "3.9" and python_version < "3.13" fsspec==2024.6.1 ; python_version >= "3.9" and python_version < "3.13" googleapis-common-protos==1.65.0 ; python_version >= "3.9" and python_version < "3.13" grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13" grpcio-reflection==1.62.3 ; python_version >= "3.9" and python_version < "3.13" grpcio-status==1.62.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio==1.67.0 ; python_version >= "3.9" and python_version < "3.13" +grpcio==1.68.0 ; python_version >= "3.9" and python_version < "3.13" hf-transfer==0.1.8 ; python_version >= "3.9" and python_version < "3.13" huggingface-hub==0.23.5 ; python_version >= "3.9" and python_version < "3.13" idna==3.10 ; python_version >= "3.9" and python_version < "3.13" importlib-metadata==7.1.0 ; python_version >= "3.9" and python_version < "3.13" -loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13" +loguru==0.7.2 ; python_version >= "3.9" and python_version < "3.13" markdown-it-py==3.0.0 ; python_version >= "3.9" and python_version < "3.13" mdurl==0.1.2 ; python_version >= "3.9" and python_version < "3.13" numpy==1.26.4 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-api==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-common==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-grpc==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp-proto-http==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-exporter-otlp==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation-grpc==0.46b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-instrumentation==0.46b0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-proto==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-sdk==1.25.0 ; python_version >= "3.9" and python_version < "3.13" -opentelemetry-semantic-conventions==0.46b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-api==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-common==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-grpc==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp-proto-http==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-exporter-otlp==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation-grpc==0.48b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-instrumentation==0.48b0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-proto==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-sdk==1.27.0 ; python_version >= "3.9" and python_version < "3.13" +opentelemetry-semantic-conventions==0.48b0 ; python_version >= "3.9" and python_version < "3.13" packaging==24.1 ; python_version >= "3.9" and python_version < "3.13" -pillow==10.4.0 ; python_version >= "3.9" and python_version < "3.13" +pillow==11.0.0 ; python_version >= "3.9" and python_version < "3.13" prometheus-client==0.20.0 ; python_version >= "3.9" and python_version < "3.13" protobuf==4.25.5 ; python_version >= "3.9" and python_version < "3.13" py-cpuinfo==9.0.0 ; python_version >= "3.9" and python_version < "3.13" @@ -38,15 +38,16 @@ pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13" pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13" regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13" requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13" -rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13" +rich==13.9.4 ; python_version >= "3.9" and python_version < "3.13" safetensors==0.4.5 ; python_version >= "3.9" and python_version < "3.13" scipy==1.13.1 ; python_version >= "3.9" and python_version < "3.13" sentencepiece==0.2.0 ; python_version >= "3.9" and python_version < "3.13" setuptools==75.2.0 ; python_version >= "3.9" and python_version < "3.13" -tokenizers==0.20.1 ; python_version >= "3.9" and python_version < "3.13" +shellingham==1.5.4 ; python_version >= "3.9" and python_version < "3.13" +tokenizers==0.20.3 ; python_version >= "3.9" and python_version < "3.13" tqdm==4.66.5 ; python_version >= "3.9" and python_version < "3.13" -transformers==4.46.0 ; python_version >= "3.9" and python_version < "3.13" -typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13" +transformers==4.46.3 ; python_version >= "3.9" and python_version < "3.13" +typer==0.12.5 ; python_version >= "3.9" and python_version < "3.13" typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.13" urllib3==2.2.3 ; python_version >= "3.9" and python_version < "3.13" win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32" diff --git a/server/text_generation_server/models/causal_lm.py b/server/text_generation_server/models/causal_lm.py index 82407de3..2f9ca456 100644 --- a/server/text_generation_server/models/causal_lm.py +++ b/server/text_generation_server/models/causal_lm.py @@ -630,7 +630,9 @@ class CausalLM(Model): if tokenizer.pad_token_id is None: if model.config.pad_token_id is not None: tokenizer.pad_token_id = model.config.pad_token_id - elif model.config.eos_token_id is not None and isinstance(model.config.eos_token_id, int): + elif model.config.eos_token_id is not None and isinstance( + model.config.eos_token_id, int + ): tokenizer.pad_token_id = model.config.eos_token_id elif tokenizer.eos_token_id is not None: tokenizer.pad_token_id = tokenizer.eos_token_id From b57f3703867ff52fceed8a19aae9341858604c2a Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Tue, 3 Dec 2024 08:34:21 +0530 Subject: [PATCH 12/31] Saving some VRAM. (#2790) * Saving some VRAM. - 8B on 4xL4 attention=flashdecoding . Before 4.28GB left, After 4.32GB left, so 400MB saved. - Effect not as visible on attention=flashinfer and n_shard=1. I suspect it's linked to the torch allocator. * Adding assertion. --- .../models/flash_causal_lm.py | 57 ++++++++++++------- 1 file changed, 38 insertions(+), 19 deletions(-) diff --git a/server/text_generation_server/models/flash_causal_lm.py b/server/text_generation_server/models/flash_causal_lm.py index 36f70180..cf9ac405 100644 --- a/server/text_generation_server/models/flash_causal_lm.py +++ b/server/text_generation_server/models/flash_causal_lm.py @@ -1389,29 +1389,48 @@ class FlashCausalLM(Model): ] def cuda_graph_warmup(self, bs: int, max_s: int, max_bt: int): - input_ids = torch.zeros(bs, dtype=torch.int64, device=self.device) - position_ids = torch.zeros(bs, dtype=torch.int32, device=self.device) - slots = torch.arange(bs, dtype=torch.int64, device=self.device) + max_bs = max(self.cuda_graphs.keys()) if self.cuda_graphs else None input_lengths = [max_s] * bs cache_lengths = [0] * bs - input_lengths_tensor = ( - torch.ones(bs, dtype=torch.int32, device=self.device) * max_s - ) - cache_lengths_tensor = torch.zeros(bs, dtype=torch.int32, device=self.device) - block_tables = torch.arange( - max_bt, dtype=torch.int32, device=self.device - ).repeat(bs) - block_tables = block_tables.reshape((bs, max_bt)) + if max_bs is None: + input_ids = torch.zeros(bs, dtype=torch.int64, device=self.device) + position_ids = torch.zeros(bs, dtype=torch.int32, device=self.device) + slots = torch.arange(bs, dtype=torch.int64, device=self.device) + input_lengths_tensor = ( + torch.ones(bs, dtype=torch.int32, device=self.device) * max_s + ) + cache_lengths_tensor = torch.zeros( + bs, dtype=torch.int32, device=self.device + ) + block_tables = torch.arange( + max_bt, dtype=torch.int32, device=self.device + ).repeat(bs) + block_tables = block_tables.reshape((bs, max_bt)) + if ATTENTION == "flashinfer": + block_tables = block_tables_to_ragged( + block_tables=block_tables, + input_lengths=input_lengths, + cache_lengths=cache_lengths, + input_lengths_tensor=input_lengths_tensor, + cache_lengths_tensor=cache_lengths_tensor, + max_current_length=max_s, + ) + else: + if bs > max_bs: + raise RuntimeError( + "Cuda graphs should be generated in decreasing order size to reduce VRAM usage" + ) + input_ids = self.cuda_graphs[max_bs]["input_ids"][:bs] + position_ids = self.cuda_graphs[max_bs]["position_ids"][:bs] + if ATTENTION == "flashinfer": + block_tables = self.cuda_graphs[max_bs]["block_tables"][: bs * max_bt] + else: + block_tables = self.cuda_graphs[max_bs]["block_tables"][:bs] + slots = self.cuda_graphs[max_bs]["slots"][:bs] + input_lengths_tensor = self.cuda_graphs[max_bs]["input_lengths"][:bs] + cache_lengths_tensor = self.cuda_graphs[max_bs]["cache_lengths"][:bs] if ATTENTION == "flashinfer": - block_tables = block_tables_to_ragged( - block_tables=block_tables, - input_lengths=input_lengths, - cache_lengths=cache_lengths, - input_lengths_tensor=input_lengths_tensor, - cache_lengths_tensor=cache_lengths_tensor, - max_current_length=max_s, - ) from text_generation_server.layers.attention.flashinfer import ( create_decode_state_cuda_graphs, ) From e0db633396dbf9eaac26db982fc77a6e3b5b296b Mon Sep 17 00:00:00 2001 From: drbh Date: Wed, 4 Dec 2024 15:26:09 -0500 Subject: [PATCH 13/31] fix: avoid setting use_sgmv if no kernels present (#2796) --- server/text_generation_server/adapters/lora.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/server/text_generation_server/adapters/lora.py b/server/text_generation_server/adapters/lora.py index a00338e7..f1edd9a0 100644 --- a/server/text_generation_server/adapters/lora.py +++ b/server/text_generation_server/adapters/lora.py @@ -24,6 +24,7 @@ from text_generation_server.utils.sgmv import ( orient_for_rank, pad_rank, use_cutlass_shrink, + has_sgmv, ) @@ -325,8 +326,10 @@ class BatchLoraWeights(BatchAdapterWeights): default=0, ) + use_sgmv = False if prefill or max_rank > BGMV_MAX_RANK: - use_sgmv = True + if has_sgmv(): + use_sgmv = True lora_a_ptr = torch.tensor( [ ( @@ -352,7 +355,6 @@ class BatchLoraWeights(BatchAdapterWeights): device=device, ) else: - use_sgmv = False lora_a_ptr = torch.tensor( [ ( From 6685e8fcdaf7ca2fb4f81f1c5efbcd5864fae1dd Mon Sep 17 00:00:00 2001 From: "Wang, Yi" Date: Fri, 6 Dec 2024 12:06:23 +0800 Subject: [PATCH 14/31] use oneapi 2024 docker image directly for xpu (#2793) Signed-off-by: Wang, Yi A --- Dockerfile_intel | 13 +++---------- 1 file changed, 3 insertions(+), 10 deletions(-) diff --git a/Dockerfile_intel b/Dockerfile_intel index 2e33d3df..e024f31a 100644 --- a/Dockerfile_intel +++ b/Dockerfile_intel @@ -45,7 +45,7 @@ RUN cargo build --profile release-opt --frozen # Text Generation Inference base image for Intel -FROM intel/intel-extension-for-pytorch:2.3.110-xpu AS xpu +FROM intel/oneapi-basekit:2024.2.1-0-devel-ubuntu22.04 AS xpu USER root @@ -87,7 +87,7 @@ RUN echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https:/ RUN mv /tmp/intel-for-pytorch-gpu-dev.list /etc/apt/sources.list.d -RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt install -y intel-basekit=2024.2.1-98 xpu-smi cmake ninja-build pciutils intel-pti-dev-0.9 +RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt install -y xpu-smi cmake ninja-build pciutils intel-pti-dev-0.9 # Text Generation Inference base env ENV HF_HOME=/data \ @@ -114,15 +114,8 @@ RUN cd server && \ pip install -r requirements_intel.txt && \ pip install ".[accelerate, compressed-tensors, peft, outlines]" --no-cache-dir -ENV CCL_ROOT=/opt/intel/oneapi/ccl/latest -ENV I_MPI_ROOT=/opt/intel/oneapi/mpi/latest -ENV FI_PROVIDER_PATH=/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/lib/prov:/usr/lib/x86_64-linux-gnu/libfabric -ENV LIBRARY_PATH=/opt/intel/oneapi/mpi/latest/lib:/opt/intel/oneapi/ccl/latest/lib/:/opt/intel/oneapi/mkl/latest/lib/:/opt/intel/oneapi/compiler/latest/lib -ENV LD_LIBRARY_PATH=/opt/intel/oneapi/ccl/latest/lib/:/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/lib:/opt/intel/oneapi/mpi/latest/lib:/opt/intel/oneapi/mkl/latest/lib:/opt/intel/oneapi/compiler/latest/opt/compiler/lib:/opt/intel/oneapi/compiler/latest/lib:/opt/intel/oneapi/lib:/opt/intel/oneapi/lib/intel64:/opt/intel/oneapi/pti/0.9/lib:/opt/conda/lib -ENV PATH=/opt/conda/bin:/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/bin:/opt/intel/oneapi/mpi/latest/bin:/opt/intel/oneapi/mpi/latest/opt/mpi/libfabric/bin:/opt/intel/oneapi/mkl/latest/bin/:/opt/intel/oneapi/compiler/latest/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/intel/oneapi/pti/0.9/lib:/opt/conda/lib ENV CCL_ZE_IPC_EXCHANGE=sockets -ENV CMAKE_PREFIX_PATH=/opt/intel/oneapi/mkl/latest/lib/cmake:/opt/intel/oneapi/compiler/latest -ENV CPATH=/opt/intel/oneapi/mpi/latest/include:/opt/intel/oneapi/ccl/latest/include:/opt/intel/oneapi/mkl/latest/include #ENV TORCH_LLM_ALLREDUCE=1 #ENV CCL_TOPO_FABRIC_VERTEX_CONNECTION_CHECK=0 From 8c3669b287a1c651cb07049e67f1ce5967828167 Mon Sep 17 00:00:00 2001 From: OlivierDehaene Date: Fri, 6 Dec 2024 05:50:35 +0100 Subject: [PATCH 15/31] feat: auto max_new_tokens (#2803) * feat: auto max_new_tokens * update default * Fixing the tests. --------- Co-authored-by: Nicolas Patry --- backends/v2/src/queue.rs | 1 + backends/v3/src/queue.rs | 1 + docs/openapi.json | 6 ++-- router/src/infer/mod.rs | 62 ++++++++++++++++++++++++++++++++++++++-- router/src/lib.rs | 18 +++++------- router/src/server.rs | 2 +- router/src/validation.rs | 33 ++++++++++++++++----- 7 files changed, 100 insertions(+), 23 deletions(-) diff --git a/backends/v2/src/queue.rs b/backends/v2/src/queue.rs index bf52900f..61a3eebc 100644 --- a/backends/v2/src/queue.rs +++ b/backends/v2/src/queue.rs @@ -436,6 +436,7 @@ mod tests { stopping_parameters: ValidStoppingParameters { ignore_eos_token: false, max_new_tokens: 1, + max_total_new_tokens: 1024, stop_sequences: vec![], }, top_n_tokens: 0, diff --git a/backends/v3/src/queue.rs b/backends/v3/src/queue.rs index 6662b8de..dd27806f 100644 --- a/backends/v3/src/queue.rs +++ b/backends/v3/src/queue.rs @@ -573,6 +573,7 @@ mod tests { stopping_parameters: ValidStoppingParameters { ignore_eos_token: false, max_new_tokens: 1, + max_total_new_tokens: 1024, stop_sequences: vec![], }, top_n_tokens: 0, diff --git a/docs/openapi.json b/docs/openapi.json index 44691e4b..f552ee08 100644 --- a/docs/openapi.json +++ b/docs/openapi.json @@ -1013,6 +1013,7 @@ "type": "integer", "format": "int32", "description": "The maximum number of tokens that can be generated in the chat completion.", + "default": "1024", "example": "32", "nullable": true, "minimum": 0 @@ -1329,7 +1330,8 @@ "type": "integer", "format": "int32", "description": "The maximum number of tokens that can be generated in the chat completion.", - "default": "32", + "default": "1024", + "example": "32", "nullable": true, "minimum": 0 }, @@ -1591,7 +1593,7 @@ "type": "integer", "format": "int32", "description": "Maximum number of tokens to generate.", - "default": "100", + "default": "1024", "example": "20", "nullable": true, "minimum": 0 diff --git a/router/src/infer/mod.rs b/router/src/infer/mod.rs index 1351b87e..86606643 100644 --- a/router/src/infer/mod.rs +++ b/router/src/infer/mod.rs @@ -111,21 +111,79 @@ impl Infer { })?; // Validate request + let mut local_request = request.clone(); let valid_request = self.validation.validate(request).await.map_err(|err| { metrics::counter!("tgi_request_failure", "err" => "validation").increment(1); tracing::error!("{err}"); err })?; + let seed = valid_request.parameters.seed; + local_request.parameters.seed = Some(seed); let input_length = valid_request.input_length; + let max_total_new_tokens = valid_request.stopping_parameters.max_total_new_tokens; let mut generation_stream = self.backend.schedule(valid_request)?; // Wrap generation stream to update the backend health if the stream contains an error let final_stream = stream! { + let mut total_generated_tokens = 0; + let mut first_start = None; + let mut first_queued = None; + let mut all_generated_text: Option = None; + while let Some(response) = generation_stream.next().await { - yield response.inspect_err(|_err| { + let response = response.inspect_err(|_err| { self.backend_health.store(false, Ordering::SeqCst); - }) + })?; + + match response { + InferStreamResponse::Prefill(_) => yield Ok(response), + InferStreamResponse::Intermediate { .. } => { + total_generated_tokens += 1; + yield Ok(response); + } + InferStreamResponse::End { token, top_tokens,generated_text, start, queued } => { + total_generated_tokens += 1; + first_start = first_start.or(Some(start)); + first_queued = first_queued.or(Some(queued)); + if let Some(v) = all_generated_text.as_mut() { + v.text.push_str(&generated_text.text); + v.generated_tokens = total_generated_tokens; + v.finish_reason = generated_text.finish_reason.clone(); + }; + + if matches!(generated_text.finish_reason, FinishReason::Length) && total_generated_tokens < max_total_new_tokens { + local_request.inputs.push_str(&generated_text.text); + all_generated_text = all_generated_text.or(Some(generated_text)); + + let valid_request = match self.validation.validate(local_request.clone()).await { + Ok(valid_request) => valid_request, + Err(err) => { + tracing::debug!("Failed to continue request: {err}"); + yield Ok(InferStreamResponse::End {token, top_tokens, generated_text: all_generated_text.unwrap(), start: first_start.unwrap(), queued: first_queued.unwrap() }); + break; + } + }; + + generation_stream = match self.backend.schedule(valid_request) { + Ok(stream) => { + tracing::debug!("Continue request"); + yield Ok(InferStreamResponse::Intermediate { token, top_tokens } ); + stream + }, + Err(err) => { + tracing::debug!("Failed to continue request: {err}"); + yield Ok(InferStreamResponse::End {token, top_tokens, generated_text: all_generated_text.unwrap(), start: first_start.unwrap(), queued: first_queued.unwrap() }); + break; + } + } + } else { + yield Ok(InferStreamResponse::End {token, top_tokens, generated_text: all_generated_text.unwrap_or(generated_text), start: first_start.unwrap(), queued: first_queued.unwrap() }); + break; + } + + } + } } }; diff --git a/router/src/lib.rs b/router/src/lib.rs index ea697c3a..40076564 100644 --- a/router/src/lib.rs +++ b/router/src/lib.rs @@ -332,8 +332,8 @@ pub(crate) struct GenerateParameters { pub do_sample: bool, /// Maximum number of tokens to generate. - #[serde(default = "default_max_new_tokens")] - #[schema(nullable = true, default = "100", example = "20")] + #[serde(default)] + #[schema(nullable = true, default = "1024", example = "20")] pub max_new_tokens: Option, /// Whether to prepend the prompt to the generated text @@ -392,10 +392,6 @@ pub(crate) struct GenerateParameters { pub adapter_id: Option, } -fn default_max_new_tokens() -> Option { - Some(100) -} - fn default_parameters() -> GenerateParameters { GenerateParameters { best_of: None, @@ -406,7 +402,7 @@ fn default_parameters() -> GenerateParameters { top_p: None, typical_p: None, do_sample: true, - max_new_tokens: default_max_new_tokens(), + max_new_tokens: None, return_full_text: None, stop: Vec::new(), truncate: None, @@ -464,7 +460,7 @@ pub struct CompletionRequest { /// The maximum number of tokens that can be generated in the chat completion. #[serde(default)] - #[schema(default = "32")] + #[schema(default = "1024", example = "32")] pub max_tokens: Option, /// What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while @@ -842,7 +838,7 @@ pub(crate) struct ChatRequest { /// The maximum number of tokens that can be generated in the chat completion. #[serde(default)] - #[schema(example = "32")] + #[schema(default = "1024", example = "32")] pub max_tokens: Option, /// UNUSED @@ -937,7 +933,7 @@ impl ChatRequest { } = self; let repetition_penalty = presence_penalty.map(|x| x + 2.0); - let max_new_tokens = max_tokens.or(Some(100)); + let max_new_tokens = max_tokens; let tool_prompt = tool_prompt .filter(|s| !s.is_empty()) .unwrap_or_else(default_tool_prompt); @@ -1328,7 +1324,7 @@ pub struct SimpleToken { stop: usize, } -#[derive(Debug, Serialize, ToSchema)] +#[derive(Debug, Serialize, ToSchema, Clone)] #[serde(rename_all(serialize = "snake_case"))] #[schema(example = "Length")] pub enum FinishReason { diff --git a/router/src/server.rs b/router/src/server.rs index f253cb63..5a76e079 100644 --- a/router/src/server.rs +++ b/router/src/server.rs @@ -714,7 +714,7 @@ pub(crate) async fn completions( .. } = req; - let max_new_tokens = max_tokens.or(Some(100)); + let max_new_tokens = max_tokens; let stop = stop.unwrap_or_default(); // enable greedy only when temperature is 0 let (do_sample, temperature) = match temperature { diff --git a/router/src/validation.rs b/router/src/validation.rs index 032638ab..8137ac58 100644 --- a/router/src/validation.rs +++ b/router/src/validation.rs @@ -1,4 +1,3 @@ -/// Payload validation logic use crate::config::Config; use crate::validation::ValidationError::{BestOfSampling, BestOfSeed, EmptyInput}; use crate::{ @@ -12,6 +11,8 @@ use jsonschema::{Draft, JSONSchema}; use outlines_core::json_schema::to_regex as json_schema_to_regex; use rand::{thread_rng, Rng}; use serde_json::Value; +/// Payload validation logic +use std::cmp::min; use std::io::Cursor; use std::iter; use std::sync::Arc; @@ -21,6 +22,8 @@ use tokio::sync::oneshot; use tracing::{instrument, Span}; use {once_cell::sync::Lazy, regex::Regex}; +static DEFAULT_GENERATION_LENGTH: u32 = 1024; + /// Validation #[derive(Debug, Clone)] pub struct Validation { @@ -131,7 +134,7 @@ impl Validation { add_special_tokens: bool, truncate: Option, max_new_tokens: Option, - ) -> Result<(Vec, Option>, usize, u32), ValidationError> { + ) -> Result<(Vec, Option>, usize, u32, u32), ValidationError> { // If we have a fast tokenizer let (encoding, inputs) = self .tokenize(inputs.clone(), add_special_tokens, truncate) @@ -144,10 +147,17 @@ impl Validation { }; // Get total tokens - let max_new_tokens: u32 = if let Some(max_new_tokens) = max_new_tokens { - max_new_tokens + let (max_new_tokens, max_total_new_tokens) = if let Some(max_new_tokens) = max_new_tokens { + (max_new_tokens, max_new_tokens) } else { - self.max_total_tokens.saturating_sub(input_length) as u32 + // Use the maximum possible number of tokens as default + // However, the system will re-queue the request everytime it completes + // `DEFAULT_GENERATION_LENGTH` tokens. + let max_new_tokens = self.max_total_tokens.saturating_sub(input_length) as u32; + ( + min(max_new_tokens, DEFAULT_GENERATION_LENGTH), + max_new_tokens, + ) }; let total_tokens = input_length + max_new_tokens as usize; @@ -172,7 +182,13 @@ impl Validation { let input_ids = ids[ids.len().saturating_sub(input_length)..].to_owned(); metrics::histogram!("tgi_request_input_length").record(input_length as f64); - Ok((inputs, Some(input_ids), input_length, max_new_tokens)) + Ok(( + inputs, + Some(input_ids), + input_length, + max_new_tokens, + max_total_new_tokens, + )) } /// Validate a payload and get the number of tokens in the input @@ -305,7 +321,7 @@ impl Validation { .unwrap_or(Ok(None))?; // Validate inputs - let (inputs, input_ids, input_length, max_new_tokens) = self + let (inputs, input_ids, input_length, max_new_tokens, max_total_new_tokens) = self .validate_input( request.inputs, request.add_special_tokens, @@ -381,6 +397,7 @@ impl Validation { }; let stopping_parameters = ValidStoppingParameters { max_new_tokens, + max_total_new_tokens, stop_sequences, ignore_eos_token: false, }; @@ -740,6 +757,8 @@ pub struct ValidParameters { pub struct ValidStoppingParameters { /// / Maximum number of generated tokens pub max_new_tokens: u32, + /// Maximum number of generated tokens before being re-queued by the system + pub max_total_new_tokens: u32, /// / Optional stopping sequences pub stop_sequences: Vec, /// / Ignore end of sequence token From 5df80590375cb2f541a20b2b18848e7ead2532b7 Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Fri, 6 Dec 2024 10:22:00 +0530 Subject: [PATCH 16/31] Auto max prefill (#2797) * Attempt at automatic max batch prefill. * Taking into account number of shards. * Adding more cards. * Adding A100 + H100 * Adding a few more cards. * Logprobs cost too much. * h100 better name, and keep factor of 2 * Damn inflated sparse tflops. * Typo in h100. * Updated the flops calculation (checked with fvcore). * chunking by default. * Fix prefix caching for chat completion since we removed logprobs. * More tests. * Dropping all the prefill logprobs. * Add a flag that enables users to get logprobs back. * Repairing prompt token counting. * Fixing a few tests. * Remove some scaffolding. * Attempting to reduces the issues (workarounds for now). --- docs/source/reference/launcher.md | 10 + .../models/__snapshots__/test.py | 22 + .../test_compressed_tensors_w8a8_int.json | 33 +- ...ompressed_tensors_w8a8_int_all_params.json | 28 +- ...test_compressed_tensors_w8a8_int_load.json | 132 +- ...essed_tensors_w8a8_int_dynamic_weight.json | 28 +- ...rs_w8a8_int_dynamic_weight_all_params.json | 23 +- ..._tensors_w8a8_int_dynamic_weight_load.json | 112 +- .../test_compressed_tensors_w8an.json | 33 +- ...st_compressed_tensors_w8an_all_params.json | 28 +- .../test_compressed_tensors_w8an_load.json | 132 +- .../test_compressed_tensors_wna16.json | 33 +- ...t_compressed_tensors_wna16_all_params.json | 28 +- .../test_compressed_tensors_wna16_load.json | 132 +- .../test_compressed_tensors_wna16_int_24.json | 33 +- ...essed_tensors_wna16_int_24_all_params.json | 28 +- ..._compressed_tensors_wna16_int_24_load.json | 132 +- .../test_flash_awq/test_flash_llama_awq.json | 33 +- .../test_flash_llama_awq_all_params.json | 28 +- .../test_flash_llama_awq_load.json | 132 +- .../test_flash_llama_awq_load_sharded.json | 132 +- .../test_flash_llama_awq_sharded.json | 33 +- .../test_flash_deepseek_v2.json | 18 +- .../test_flash_deepseek_v2_all_params.json | 18 +- .../test_flash_deepseek_v2_load.json | 72 +- .../test_flash_falcon/test_flash_falcon.json | 308 +- .../test_flash_falcon_all_params.json | 28 +- .../test_flash_falcon_load.json | 1232 +- .../test_flash_gemma_all_params.json | 18 +- .../test_flash_gemma_load.json | 72 +- .../test_flash_gemma_simple.json | 18 +- .../test_flash_gemma2/test_flash_gemma2.json | 183 +- .../test_flash_gemma2_load.json | 732 +- .../test_flash_gemma_gptq.json | 18 +- .../test_flash_gemma_gptq_all_params.json | 18 +- .../test_flash_gemma_gptq_load.json | 72 +- .../test_flash_gpt2/test_flash_gpt2.json | 28 +- .../test_flash_gpt2/test_flash_gpt2_load.json | 112 +- .../test_flash_llama_grammar.json | 18 +- .../test_flash_llama_grammar_json.json | 83 +- .../test_flash_llama_grammar_load.json | 192 +- .../test_flash_llama_grammar_regex.json | 38 +- .../test_flash_llama_all_params.json | 18 +- .../test_flash_llama_load.json | 72 +- .../test_flash_llama_simple.json | 18 +- .../test_flash_llama_exl2.json | 13 +- .../test_flash_llama_exl2_all_params.json | 13 +- .../test_flash_llama_exl2_load.json | 52 +- .../test_flash_llama_fp8.json | 18 +- .../test_flash_llama_fp8_all_params.json | 18 +- .../test_flash_llama_fp8_load.json | 72 +- .../test_flash_llama_fp8_kv_cache.json | 33 +- ...t_flash_llama_fp8_kv_cache_all_params.json | 28 +- .../test_flash_llama_fp8_kv_cache_load.json | 132 +- .../test_flash_llama_gptq.json | 13 +- .../test_flash_llama_gptq_all_params.json | 13 +- .../test_flash_llama_gptq_load.json | 52 +- .../test_flash_llama_marlin.json | 18 +- .../test_flash_llama_marlin_all_params.json | 18 +- .../test_flash_llama_marlin_load.json | 72 +- .../test_flash_llama_marlin.json | 18 +- .../test_flash_llama_marlin24_all_params.json | 18 +- .../test_flash_llama_marlin24_load.json | 72 +- .../test_flash_medusa_all_params.json | 28 +- .../test_flash_medusa_load.json | 132 +- .../test_flash_medusa_simple.json | 33 +- .../test_flash_mistral.json | 18 +- .../test_flash_mistral_all_params.json | 18 +- .../test_flash_mistral_load.json | 72 +- .../test_flash_mixtral.json | 43 +- .../test_flash_mixtral_all_params.json | 28 +- .../test_flash_mixtral_load.json | 172 +- .../test_flash_mixtral_awq.json | 33 +- .../test_flash_mixtral_awq_all_params.json | 28 +- .../test_flash_mixtral_awq_load.json | 132 +- .../test_flash_mixtral_gptq.json | 33 +- .../test_flash_mixtral_gptq_all_params.json | 28 +- .../test_flash_mixtral_gptq_load.json | 132 +- .../test_flash_neox/test_flash_neox.json | 43 +- .../test_flash_neox/test_flash_neox_load.json | 172 +- .../test_flash_neox.json | 93 +- .../test_flash_neox_load.json | 372 +- .../test_flash_phi/test_flash_phi.json | 13 +- .../test_flash_phi_all_params.json | 13 +- .../test_flash_phi/test_flash_phi_load.json | 52 +- .../test_flash_phi35_moe.json | 38 +- .../test_flash_phi35_moe_all_params.json | 28 +- .../test_flash_phi35_moe_load.json | 152 +- .../test_flash_qwen2/test_flash_qwen2.json | 13 +- .../test_flash_qwen2_all_params.json | 13 +- .../test_flash_qwen2_load.json | 52 +- .../test_flash_santacoder.json | 23 +- .../test_flash_santacoder_load.json | 92 +- .../test_flash_starcoder.json | 23 +- .../test_flash_starcoder_default_params.json | 23 +- .../test_flash_starcoder_load.json | 92 +- .../test_flash_starcoder2.json | 23 +- .../test_flash_starcoder2_default_params.json | 23 +- .../test_flash_starcoder2_load.json | 92 +- .../test_flash_starcoder_gptq.json | 63 +- ...t_flash_starcoder_gptq_default_params.json | 63 +- .../test_flash_starcoder_gptq_load.json | 252 +- .../test_non_flash_llama_grammar_json.json | 83 +- .../test_flash_idefics2_next_all_params.json | 18 +- .../test_flash_idefics2_next_load.json | 6812 +- .../test_flash_llava_next_all_params.json | 18 +- .../test_flash_llava_next_load.json | 58892 +--------------- .../__snapshots__/test_neox/test_neox.json | 43 +- .../test_neox/test_neox_load.json | 172 +- .../test_neox_sharded/test_neox.json | 93 +- .../test_neox_sharded/test_neox_load.json | 372 +- .../test_server_gptq_quantized.json | 18 +- ...test_server_gptq_quantized_all_params.json | 18 +- .../test_server_gptq_quantized_load.json | 72 +- .../models/test_flash_phi35_moe.py | 1 + integration-tests/models/test_mllama.py | 9 +- launcher/src/main.rs | 204 +- load_tests/Makefile | 9 + load_tests/common.js | 94 + load_tests/filter.py | 26 + load_tests/long.js | 94 + load_tests/long.py | 19 + load_tests/long_prompt2.py | 22 + load_tests/orca.py | 27 + router/src/config.rs | 2 +- router/src/lib.rs | 9 +- router/src/server.rs | 21 +- router/src/vertex.rs | 2 +- .../models/flash_causal_lm.py | 10 +- .../text_generation_server/models/globals.py | 3 +- 130 files changed, 756 insertions(+), 74544 deletions(-) create mode 100644 integration-tests/models/__snapshots__/test.py create mode 100644 load_tests/Makefile create mode 100644 load_tests/common.js create mode 100644 load_tests/filter.py create mode 100644 load_tests/long.js create mode 100644 load_tests/long.py create mode 100644 load_tests/long_prompt2.py create mode 100644 load_tests/orca.py diff --git a/docs/source/reference/launcher.md b/docs/source/reference/launcher.md index 90246aa4..159b22e7 100644 --- a/docs/source/reference/launcher.md +++ b/docs/source/reference/launcher.md @@ -467,6 +467,16 @@ Options: [env: PAYLOAD_LIMIT=] [default: 2000000] +``` +## ENABLE_PREFILL_LOGPROBS +```shell + --enable-prefill-logprobs + Enables prefill logprobs + + Logprobs in the prompt are deactivated by default because they consume a large amount of VRAM (especially for long prompts). Using this flag reallows users to ask for them. + + [env: ENABLE_PREFILL_LOGPROBS=] + ``` ## HELP ```shell diff --git a/integration-tests/models/__snapshots__/test.py b/integration-tests/models/__snapshots__/test.py new file mode 100644 index 00000000..f6c9a6a9 --- /dev/null +++ b/integration-tests/models/__snapshots__/test.py @@ -0,0 +1,22 @@ +import os +import json + + +for root, dirs, files in os.walk("."): + for filename in files: + if filename.endswith(".json"): + with open(os.path.join(root, filename), "r") as f: + data = json.load(f) + + print(os.path.join(root, filename)) + try: + if filename.endswith("_load.json"): + for i in range(len(data)): + data[i]["details"]["prefill"] = [] + else: + data["details"]["prefill"] = [] + except Exception: + pass + + with open(os.path.join(root, filename), "w") as f: + json.dump(data, f, indent=2, ensure_ascii=False) diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int.json index 1f7e0425..62f32c1d 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.3867188, - "text": "What" - }, - { - "id": 374, - "logprob": -1.1318359, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.6875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.3007812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.4902344, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_all_params.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_all_params.json index c1a789ef..7d35e8f9 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_all_params.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.3867188, - "text": "What" - }, - { - "id": 374, - "logprob": -1.1318359, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.6875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.3007812, - "text": " learning" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_load.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_load.json index a177ee9a..20b6b380 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_load.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int/test_compressed_tensors_w8a8_int_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.3867188, - "text": "What" - }, - { - "id": 374, - "logprob": -1.1318359, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.6875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.3007812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.4902344, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.3867188, - "text": "What" - }, - { - "id": 374, - "logprob": -1.1318359, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.6875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.3007812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.4902344, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.3867188, - "text": "What" - }, - { - "id": 374, - "logprob": -1.1318359, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.6875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.3007812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.4902344, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.3867188, - "text": "What" - }, - { - "id": 374, - "logprob": -1.1318359, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.6875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.3007812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.4902344, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight.json index 1fb53c25..2525f72c 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 3838, - "logprob": null, - "text": "What" - }, - { - "id": 374, - "logprob": -8.59375, - "text": " is" - }, - { - "id": 5538, - "logprob": -10.921875, - "text": " deep" - }, - { - "id": 6832, - "logprob": -0.56347656, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.5, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_all_params.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_all_params.json index ca665b83..0db48f3e 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_all_params.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_all_params.json @@ -3,28 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 3838, - "logprob": null, - "text": "What" - }, - { - "id": 374, - "logprob": -8.59375, - "text": " is" - }, - { - "id": 5538, - "logprob": -10.921875, - "text": " deep" - }, - { - "id": 6832, - "logprob": -0.56347656, - "text": " learning" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_load.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_load.json index 3ebeabf2..abcaf876 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_load.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8a8_int_dynamic_weight/test_compressed_tensors_w8a8_int_dynamic_weight_load.json @@ -4,33 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 3838, - "logprob": null, - "text": "What" - }, - { - "id": 374, - "logprob": -8.59375, - "text": " is" - }, - { - "id": 5538, - "logprob": -10.921875, - "text": " deep" - }, - { - "id": 6832, - "logprob": -0.56347656, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.5, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -103,33 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 3838, - "logprob": null, - "text": "What" - }, - { - "id": 374, - "logprob": -8.59375, - "text": " is" - }, - { - "id": 5538, - "logprob": -10.921875, - "text": " deep" - }, - { - "id": 6832, - "logprob": -0.56347656, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.5, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -202,33 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 3838, - "logprob": null, - "text": "What" - }, - { - "id": 374, - "logprob": -8.59375, - "text": " is" - }, - { - "id": 5538, - "logprob": -10.921875, - "text": " deep" - }, - { - "id": 6832, - "logprob": -0.56347656, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.5, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -301,33 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 3838, - "logprob": null, - "text": "What" - }, - { - "id": 374, - "logprob": -8.59375, - "text": " is" - }, - { - "id": 5538, - "logprob": -10.921875, - "text": " deep" - }, - { - "id": 6832, - "logprob": -0.56347656, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.5, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an.json index c53a036f..ce2c1cb4 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.609375, - "text": "What" - }, - { - "id": 374, - "logprob": -0.92529297, - "text": " is" - }, - { - "id": 5655, - "logprob": -10.0, - "text": " deep" - }, - { - "id": 6975, - "logprob": -0.94628906, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.9042969, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_all_params.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_all_params.json index bb1d6f0e..87b10d5c 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_all_params.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.609375, - "text": "What" - }, - { - "id": 374, - "logprob": -0.92529297, - "text": " is" - }, - { - "id": 5655, - "logprob": -10.0, - "text": " deep" - }, - { - "id": 6975, - "logprob": -0.94628906, - "text": " learning" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_load.json b/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_load.json index 09f9e3a7..761d69ca 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_load.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.609375, - "text": "What" - }, - { - "id": 374, - "logprob": -0.92529297, - "text": " is" - }, - { - "id": 5655, - "logprob": -10.0, - "text": " deep" - }, - { - "id": 6975, - "logprob": -0.94628906, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.9042969, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.6054688, - "text": "What" - }, - { - "id": 374, - "logprob": -0.92089844, - "text": " is" - }, - { - "id": 5655, - "logprob": -10.0, - "text": " deep" - }, - { - "id": 6975, - "logprob": -0.94433594, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.90625, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.6054688, - "text": "What" - }, - { - "id": 374, - "logprob": -0.92089844, - "text": " is" - }, - { - "id": 5655, - "logprob": -10.0, - "text": " deep" - }, - { - "id": 6975, - "logprob": -0.94433594, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.90625, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.6054688, - "text": "What" - }, - { - "id": 374, - "logprob": -0.92089844, - "text": " is" - }, - { - "id": 5655, - "logprob": -10.0, - "text": " deep" - }, - { - "id": 6975, - "logprob": -0.94433594, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.90625, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16.json b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16.json index bc4acf60..7f52605f 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 1841, - "logprob": -5.46875, - "text": "What" - }, - { - "id": 603, - "logprob": -0.69140625, - "text": " is" - }, - { - "id": 5271, - "logprob": -12.0, - "text": " deep" - }, - { - "id": 6044, - "logprob": -0.32226562, - "text": " learning" - }, - { - "id": 235336, - "logprob": -0.33203125, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_all_params.json b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_all_params.json index 9999f3ae..08c63e79 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_all_params.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 1841, - "logprob": -5.46875, - "text": "What" - }, - { - "id": 603, - "logprob": -0.69140625, - "text": " is" - }, - { - "id": 5271, - "logprob": -12.0, - "text": " deep" - }, - { - "id": 6044, - "logprob": -0.32226562, - "text": " learning" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_load.json b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_load.json index a4b3b590..6ca60460 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_load.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int/test_compressed_tensors_wna16_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 1841, - "logprob": -5.46875, - "text": "What" - }, - { - "id": 603, - "logprob": -0.69140625, - "text": " is" - }, - { - "id": 5271, - "logprob": -12.0, - "text": " deep" - }, - { - "id": 6044, - "logprob": -0.32226562, - "text": " learning" - }, - { - "id": 235336, - "logprob": -0.33203125, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 1841, - "logprob": -5.46875, - "text": "What" - }, - { - "id": 603, - "logprob": -0.71484375, - "text": " is" - }, - { - "id": 5271, - "logprob": -12.0, - "text": " deep" - }, - { - "id": 6044, - "logprob": -0.30859375, - "text": " learning" - }, - { - "id": 235336, - "logprob": -0.3359375, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 1841, - "logprob": -5.46875, - "text": "What" - }, - { - "id": 603, - "logprob": -0.71484375, - "text": " is" - }, - { - "id": 5271, - "logprob": -12.0, - "text": " deep" - }, - { - "id": 6044, - "logprob": -0.30859375, - "text": " learning" - }, - { - "id": 235336, - "logprob": -0.3359375, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 1841, - "logprob": -5.46875, - "text": "What" - }, - { - "id": 603, - "logprob": -0.71484375, - "text": " is" - }, - { - "id": 5271, - "logprob": -12.0, - "text": " deep" - }, - { - "id": 6044, - "logprob": -0.30859375, - "text": " learning" - }, - { - "id": 235336, - "logprob": -0.3359375, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24.json b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24.json index 74e74801..07638445 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.5390625, - "text": "What" - }, - { - "id": 374, - "logprob": -0.86035156, - "text": " is" - }, - { - "id": 5655, - "logprob": -8.828125, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.4912109, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.1152344, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_all_params.json b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_all_params.json index 596736ff..16f7a09a 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_all_params.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.5390625, - "text": "What" - }, - { - "id": 374, - "logprob": -0.86035156, - "text": " is" - }, - { - "id": 5655, - "logprob": -8.828125, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.4912109, - "text": " learning" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_load.json b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_load.json index c32c80cc..9c26fff2 100644 --- a/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_load.json +++ b/integration-tests/models/__snapshots__/test_compressed_tensors_wna16_int_24/test_compressed_tensors_wna16_int_24_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.5390625, - "text": "What" - }, - { - "id": 374, - "logprob": -0.86035156, - "text": " is" - }, - { - "id": 5655, - "logprob": -8.828125, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.4912109, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.1152344, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.5351562, - "text": "What" - }, - { - "id": 374, - "logprob": -0.85791016, - "text": " is" - }, - { - "id": 5655, - "logprob": -8.828125, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.4882812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.1210938, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.5351562, - "text": "What" - }, - { - "id": 374, - "logprob": -0.85791016, - "text": " is" - }, - { - "id": 5655, - "logprob": -8.828125, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.4882812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.1210938, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -7.5351562, - "text": "What" - }, - { - "id": 374, - "logprob": -0.85791016, - "text": " is" - }, - { - "id": 5655, - "logprob": -8.828125, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.4882812, - "text": " learning" - }, - { - "id": 30, - "logprob": -2.1210938, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq.json b/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq.json index dcd37cb9..f2649c11 100644 --- a/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq.json +++ b/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.703125, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4765625, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8583984, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7548828, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_all_params.json b/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_all_params.json index d16d34f9..5e816c1a 100644 --- a/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 338, - "logprob": -9.0859375, - "text": "is" - }, - { - "id": 21784, - "logprob": -10.90625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -2.65625, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -4.8085938, - "text": "?" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_load.json b/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_load.json index e6fb3dc0..47f3a52c 100644 --- a/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_load.json +++ b/integration-tests/models/__snapshots__/test_flash_awq/test_flash_llama_awq_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.703125, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4765625, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8652344, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7548828, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.703125, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4765625, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8583984, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7548828, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.703125, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4765625, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8652344, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7548828, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.703125, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4765625, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8652344, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7548828, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_load_sharded.json b/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_load_sharded.json index f1d9129d..56a10a75 100644 --- a/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_load_sharded.json +++ b/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_load_sharded.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.6914062, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4746094, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8623047, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7558594, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.6914062, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4746094, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8623047, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7558594, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.6914062, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4746094, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8623047, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7558594, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.6914062, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4746094, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8623047, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7558594, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_sharded.json b/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_sharded.json index 0f91eb36..b072bde7 100644 --- a/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_sharded.json +++ b/integration-tests/models/__snapshots__/test_flash_awq_sharded/test_flash_llama_awq_sharded.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -7.6914062, - "text": "What" - }, - { - "id": 338, - "logprob": -1.4746094, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.390625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.8623047, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.7558594, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2.json b/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2.json index 732b0c49..99b5e662 100644 --- a/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2.json +++ b/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 100000, - "logprob": null, - "text": "<｜begin▁of▁sentence｜>" - }, - { - "id": 3533, - "logprob": -9.625, - "text": "Test" - }, - { - "id": 3102, - "logprob": -11.25, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_all_params.json b/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_all_params.json index 6b45cf6b..2a95f0a5 100644 --- a/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_all_params.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "eos_token", "generated_tokens": 4, - "prefill": [ - { - "id": 100000, - "logprob": null, - "text": "<｜begin▁of▁sentence｜>" - }, - { - "id": 3533, - "logprob": -9.625, - "text": "Test" - }, - { - "id": 3102, - "logprob": -11.25, - "text": " request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_load.json b/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_load.json index f1eeab25..30b27a6f 100644 --- a/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_load.json +++ b/integration-tests/models/__snapshots__/test_flash_deepseek_v2/test_flash_deepseek_v2_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 100000, - "logprob": null, - "text": "<｜begin▁of▁sentence｜>" - }, - { - "id": 3533, - "logprob": -9.625, - "text": "Test" - }, - { - "id": 3102, - "logprob": -11.25, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 100000, - "logprob": null, - "text": "<｜begin▁of▁sentence｜>" - }, - { - "id": 3533, - "logprob": -9.625, - "text": "Test" - }, - { - "id": 3102, - "logprob": -11.25, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 100000, - "logprob": null, - "text": "<｜begin▁of▁sentence｜>" - }, - { - "id": 3533, - "logprob": -9.625, - "text": "Test" - }, - { - "id": 3102, - "logprob": -11.25, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 100000, - "logprob": null, - "text": "<｜begin▁of▁sentence｜>" - }, - { - "id": 3533, - "logprob": -9.625, - "text": "Test" - }, - { - "id": 3102, - "logprob": -11.25, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon.json b/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon.json index 488f3de3..1d2573f0 100644 --- a/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon.json +++ b/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon.json @@ -3,313 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 50, - "logprob": null, - "text": "G" - }, - { - "id": 330, - "logprob": -5.96875, - "text": "ir" - }, - { - "id": 1622, - "logprob": -5.6132812, - "text": "af" - }, - { - "id": 249, - "logprob": -6.5039062, - "text": "at" - }, - { - "id": 1480, - "logprob": -8.078125, - "text": "ron" - }, - { - "id": 304, - "logprob": -2.3261719, - "text": " is" - }, - { - "id": 23866, - "logprob": -9.59375, - "text": " obsessed" - }, - { - "id": 335, - "logprob": -0.048339844, - "text": " with" - }, - { - "id": 26680, - "logprob": -4.0, - "text": " gir" - }, - { - "id": 1903, - "logprob": -0.07556152, - "text": "aff" - }, - { - "id": 255, - "logprob": -0.0067749023, - "text": "es" - }, - { - "id": 23, - "logprob": -1.546875, - "text": "," - }, - { - "id": 248, - "logprob": -4.3320312, - "text": " the" - }, - { - "id": 758, - "logprob": -3.734375, - "text": " most" - }, - { - "id": 21735, - "logprob": -5.109375, - "text": " glorious" - }, - { - "id": 5985, - "logprob": -2.09375, - "text": " animal" - }, - { - "id": 313, - "logprob": -1.1835938, - "text": " on" - }, - { - "id": 248, - "logprob": -0.77685547, - "text": " the" - }, - { - "id": 1936, - "logprob": -2.3828125, - "text": " face" - }, - { - "id": 275, - "logprob": -0.004432678, - "text": " of" - }, - { - "id": 414, - "logprob": -1.9677734, - "text": " this" - }, - { - "id": 6490, - "logprob": -2.046875, - "text": " Earth" - }, - { - "id": 25, - "logprob": -0.28198242, - "text": "." - }, - { - "id": 401, - "logprob": -7.9179688, - "text": " G" - }, - { - "id": 6013, - "logprob": -2.2753906, - "text": "ira" - }, - { - "id": 694, - "logprob": -0.6230469, - "text": "ft" - }, - { - "id": 1480, - "logprob": -0.20874023, - "text": "ron" - }, - { - "id": 9369, - "logprob": -4.5507812, - "text": " believes" - }, - { - "id": 455, - "logprob": -4.5664062, - "text": " all" - }, - { - "id": 599, - "logprob": -2.7402344, - "text": " other" - }, - { - "id": 5632, - "logprob": -0.21948242, - "text": " animals" - }, - { - "id": 362, - "logprob": -0.7675781, - "text": " are" - }, - { - "id": 23981, - "logprob": -5.0, - "text": " irrelevant" - }, - { - "id": 635, - "logprob": -4.234375, - "text": " when" - }, - { - "id": 4354, - "logprob": -0.5131836, - "text": " compared" - }, - { - "id": 271, - "logprob": -0.103637695, - "text": " to" - }, - { - "id": 248, - "logprob": -0.58447266, - "text": " the" - }, - { - "id": 21735, - "logprob": -3.6835938, - "text": " glorious" - }, - { - "id": 64398, - "logprob": -1.8173828, - "text": " majesty" - }, - { - "id": 275, - "logprob": -0.23510742, - "text": " of" - }, - { - "id": 248, - "logprob": -0.35473633, - "text": " the" - }, - { - "id": 26680, - "logprob": -0.24633789, - "text": " gir" - }, - { - "id": 23226, - "logprob": -0.02960205, - "text": "affe" - }, - { - "id": 25, - "logprob": -0.17333984, - "text": "." - }, - { - "id": 193, - "logprob": -1.3935547, - "text": "\n" - }, - { - "id": 23626, - "logprob": -10.0625, - "text": "Daniel" - }, - { - "id": 37, - "logprob": -4.59375, - "text": ":" - }, - { - "id": 23090, - "logprob": -6.9375, - "text": " Hello" - }, - { - "id": 23, - "logprob": -0.99365234, - "text": "," - }, - { - "id": 29033, - "logprob": -2.2324219, - "text": " Gir" - }, - { - "id": 1622, - "logprob": -0.10809326, - "text": "af" - }, - { - "id": 249, - "logprob": -0.042663574, - "text": "at" - }, - { - "id": 1480, - "logprob": -0.0024776459, - "text": "ron" - }, - { - "id": 12, - "logprob": -1.4277344, - "text": "!" - }, - { - "id": 193, - "logprob": -1.1015625, - "text": "\n" - }, - { - "id": 50, - "logprob": -0.05709839, - "text": "G" - }, - { - "id": 330, - "logprob": -0.13208008, - "text": "ir" - }, - { - "id": 1622, - "logprob": -0.0071487427, - "text": "af" - }, - { - "id": 249, - "logprob": -0.008468628, - "text": "at" - }, - { - "id": 1480, - "logprob": -0.00068998337, - "text": "ron" - }, - { - "id": 37, - "logprob": -0.0074691772, - "text": ":" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json b/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json index cd35186d..a5c751ec 100644 --- a/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 330, - "logprob": null, - "text": "ir" - }, - { - "id": 1622, - "logprob": -7.8125, - "text": "af" - }, - { - "id": 249, - "logprob": -4.5, - "text": "at" - }, - { - "id": 1480, - "logprob": -10.875, - "text": "ron" - }, - { - "id": 37, - "logprob": -3.6875, - "text": ":" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_load.json b/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_load.json index 90a35eb7..f3dc6e41 100644 --- a/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_load.json +++ b/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_load.json @@ -4,313 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 50, - "logprob": null, - "text": "G" - }, - { - "id": 330, - "logprob": -5.96875, - "text": "ir" - }, - { - "id": 1622, - "logprob": -5.6171875, - "text": "af" - }, - { - "id": 249, - "logprob": -6.5039062, - "text": "at" - }, - { - "id": 1480, - "logprob": -8.0703125, - "text": "ron" - }, - { - "id": 304, - "logprob": -2.328125, - "text": " is" - }, - { - "id": 23866, - "logprob": -9.59375, - "text": " obsessed" - }, - { - "id": 335, - "logprob": -0.04837036, - "text": " with" - }, - { - "id": 26680, - "logprob": -3.9960938, - "text": " gir" - }, - { - "id": 1903, - "logprob": -0.07525635, - "text": "aff" - }, - { - "id": 255, - "logprob": -0.006790161, - "text": "es" - }, - { - "id": 23, - "logprob": -1.546875, - "text": "," - }, - { - "id": 248, - "logprob": -4.3320312, - "text": " the" - }, - { - "id": 758, - "logprob": -3.7363281, - "text": " most" - }, - { - "id": 21735, - "logprob": -5.109375, - "text": " glorious" - }, - { - "id": 5985, - "logprob": -2.09375, - "text": " animal" - }, - { - "id": 313, - "logprob": -1.1845703, - "text": " on" - }, - { - "id": 248, - "logprob": -0.77734375, - "text": " the" - }, - { - "id": 1936, - "logprob": -2.3828125, - "text": " face" - }, - { - "id": 275, - "logprob": -0.0044403076, - "text": " of" - }, - { - "id": 414, - "logprob": -1.9667969, - "text": " this" - }, - { - "id": 6490, - "logprob": -2.0449219, - "text": " Earth" - }, - { - "id": 25, - "logprob": -0.28198242, - "text": "." - }, - { - "id": 401, - "logprob": -7.921875, - "text": " G" - }, - { - "id": 6013, - "logprob": -2.2714844, - "text": "ira" - }, - { - "id": 694, - "logprob": -0.62353516, - "text": "ft" - }, - { - "id": 1480, - "logprob": -0.20947266, - "text": "ron" - }, - { - "id": 9369, - "logprob": -4.5507812, - "text": " believes" - }, - { - "id": 455, - "logprob": -4.5625, - "text": " all" - }, - { - "id": 599, - "logprob": -2.7402344, - "text": " other" - }, - { - "id": 5632, - "logprob": -0.21899414, - "text": " animals" - }, - { - "id": 362, - "logprob": -0.76708984, - "text": " are" - }, - { - "id": 23981, - "logprob": -4.9960938, - "text": " irrelevant" - }, - { - "id": 635, - "logprob": -4.234375, - "text": " when" - }, - { - "id": 4354, - "logprob": -0.5131836, - "text": " compared" - }, - { - "id": 271, - "logprob": -0.103515625, - "text": " to" - }, - { - "id": 248, - "logprob": -0.58447266, - "text": " the" - }, - { - "id": 21735, - "logprob": -3.6796875, - "text": " glorious" - }, - { - "id": 64398, - "logprob": -1.8222656, - "text": " majesty" - }, - { - "id": 275, - "logprob": -0.23583984, - "text": " of" - }, - { - "id": 248, - "logprob": -0.3544922, - "text": " the" - }, - { - "id": 26680, - "logprob": -0.24609375, - "text": " gir" - }, - { - "id": 23226, - "logprob": -0.02960205, - "text": "affe" - }, - { - "id": 25, - "logprob": -0.17358398, - "text": "." - }, - { - "id": 193, - "logprob": -1.3925781, - "text": "\n" - }, - { - "id": 23626, - "logprob": -10.0625, - "text": "Daniel" - }, - { - "id": 37, - "logprob": -4.5898438, - "text": ":" - }, - { - "id": 23090, - "logprob": -6.9375, - "text": " Hello" - }, - { - "id": 23, - "logprob": -0.99365234, - "text": "," - }, - 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"prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 2015, - "logprob": -10.0625, - "text": "Test" - }, - { - "id": 3853, - "logprob": -11.0, - "text": " request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_load.json b/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_load.json index e69ee25d..7d9469e7 100644 --- a/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_load.json +++ b/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 2015, - "logprob": -10.0, - "text": "Test" - }, - { - "id": 3853, - "logprob": -10.875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 2015, - "logprob": -10.0, - "text": "Test" - }, - { - "id": 3853, - "logprob": -10.875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 2015, - "logprob": -10.0, - "text": "Test" - }, - { - "id": 3853, - "logprob": -10.875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 2015, - "logprob": -10.0, - "text": "Test" - }, - { - "id": 3853, - "logprob": -10.875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_simple.json b/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_simple.json index e322446b..ea9c1288 100644 --- a/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_simple.json +++ b/integration-tests/models/__snapshots__/test_flash_gemma/test_flash_gemma_simple.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - 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"prefill": [ - { - "id": 2, - "logprob": null, - "text": "" - }, - { - "id": 2015, - "logprob": -9.6484375, - "text": "Test" - }, - { - "id": 3853, - "logprob": -10.359375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2.json b/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2.json index ca7393a3..385cb99a 100644 --- a/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2.json +++ b/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2061, - "logprob": null, - "text": "What" - }, - { - "id": 318, - "logprob": -3.1835938, - "text": " is" - }, - { - "id": 2769, - "logprob": -9.171875, - "text": " deep" - }, - { - "id": 4673, - "logprob": -1.6425781, - "text": " learning" - }, - { - "id": 30, - "logprob": -0.7314453, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2_load.json b/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2_load.json index 7bd15b90..4d5cc4b1 100644 --- a/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2_load.json +++ b/integration-tests/models/__snapshots__/test_flash_gpt2/test_flash_gpt2_load.json @@ -4,33 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2061, - "logprob": null, - "text": "What" - }, - { - "id": 318, - "logprob": -3.1835938, - "text": " is" - }, - { - "id": 2769, - "logprob": -9.171875, - "text": " deep" - }, - { - "id": 4673, - "logprob": -1.6425781, - "text": " learning" - }, - { - "id": 30, - "logprob": -0.7314453, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -103,33 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2061, - "logprob": null, - "text": "What" - }, - { - "id": 318, - "logprob": -3.1660156, - "text": " is" - }, - { - "id": 2769, - "logprob": -9.1796875, - "text": " deep" - }, - { - "id": 4673, - "logprob": -1.6376953, - "text": " learning" - }, - { - "id": 30, - "logprob": -0.72216797, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -202,33 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2061, - "logprob": null, - "text": "What" - }, - { - "id": 318, - "logprob": -3.1660156, - "text": " is" - }, - { - "id": 2769, - "logprob": -9.1796875, - "text": " deep" - }, - { - "id": 4673, - "logprob": -1.6376953, - "text": " learning" - }, - { - "id": 30, - "logprob": -0.72216797, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -301,33 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2061, - "logprob": null, - "text": "What" - }, - { - "id": 318, - "logprob": -3.1660156, - "text": " is" - }, - { - "id": 2769, - "logprob": -9.1796875, - "text": " deep" - }, - { - "id": 4673, - "logprob": -1.6376953, - "text": " learning" - }, - { - "id": 30, - "logprob": -0.72216797, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar.json b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar.json index 0e87f59e..d9411ad7 100644 --- a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar.json +++ b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -13.90625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -12.328125, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_json.json b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_json.json index d7fb620d..29aeccd6 100644 --- a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_json.json +++ b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_json.json @@ -3,88 +3,7 @@ "best_of_sequences": null, "finish_reason": "eos_token", "generated_tokens": 30, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 5235, - "logprob": -10.0625, - "text": "info" - }, - { - "id": 29901, - "logprob": -3.2324219, - "text": ":" - }, - { - "id": 13260, - "logprob": -10.625, - "text": "dav" - }, - { - "id": 333, - "logprob": -0.08276367, - "text": "id" - }, - { - "id": 8753, - "logprob": -7.5273438, - "text": "hol" - }, - { - "id": 17559, - "logprob": -3.8476562, - "text": "tz" - }, - { - "id": 763, - "logprob": -10.140625, - "text": "like" - }, - { - "id": 10697, - "logprob": -10.1953125, - "text": "trees" - }, - { - "id": 322, - "logprob": -2.5742188, - "text": "and" - }, - { - "id": 756, - "logprob": -7.4882812, - "text": "has" - }, - { - "id": 1023, - "logprob": -5.0507812, - "text": "two" - }, - { - "id": 274, - "logprob": -5.3164062, - "text": "c" - }, - { - "id": 1446, - "logprob": -0.6694336, - "text": "ats" - }, - { - "id": 29889, - "logprob": -0.9995117, - "text": "." - }, - { - "id": 29871, - "logprob": -4.2421875, - "text": "" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_load.json b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_load.json index 411f3947..9476ad8c 100644 --- a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_load.json +++ b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_load.json @@ -4,53 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1024, - "logprob": -10.578125, - "text": "name" - }, - { - "id": 29901, - "logprob": -3.0332031, - "text": ":" - }, - { - "id": 13260, - "logprob": -9.171875, - "text": "dav" - }, - { - "id": 333, - "logprob": -0.04257202, - "text": "id" - }, - { - "id": 29889, - "logprob": -2.4785156, - "text": "." - }, - { - "id": 4876, - "logprob": -10.7890625, - "text": "email" - }, - { - "id": 29901, - "logprob": -0.32495117, - "text": ":" - }, - { - "id": 259, - "logprob": -9.4921875, - "text": " " - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -123,53 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1024, - "logprob": -10.578125, - "text": "name" - }, - { - "id": 29901, - "logprob": -3.03125, - "text": ":" - }, - { - "id": 13260, - "logprob": -9.171875, - "text": "dav" - }, - { - "id": 333, - "logprob": -0.04244995, - "text": "id" - }, - { - "id": 29889, - "logprob": -2.4863281, - "text": "." - }, - { - "id": 4876, - "logprob": -10.7890625, - "text": "email" - }, - { - "id": 29901, - "logprob": -0.32714844, - "text": ":" - }, - { - "id": 259, - "logprob": -9.4921875, - "text": " " - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -242,53 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1024, - "logprob": -10.578125, - "text": "name" - }, - { - "id": 29901, - "logprob": -3.0332031, - "text": ":" - }, - { - "id": 13260, - "logprob": -9.171875, - "text": "dav" - }, - { - "id": 333, - "logprob": -0.04257202, - "text": "id" - }, - { - "id": 29889, - "logprob": -2.4785156, - "text": "." - }, - { - "id": 4876, - "logprob": -10.7890625, - "text": "email" - }, - { - "id": 29901, - "logprob": -0.32495117, - "text": ":" - }, - { - "id": 259, - "logprob": -9.4921875, - "text": " " - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -361,53 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1024, - "logprob": -10.578125, - "text": "name" - }, - { - "id": 29901, - "logprob": -3.0332031, - "text": ":" - }, - { - "id": 13260, - "logprob": -9.171875, - "text": "dav" - }, - { - "id": 333, - "logprob": -0.04257202, - "text": "id" - }, - { - "id": 29889, - "logprob": -2.4785156, - "text": "." - }, - { - "id": 4876, - "logprob": -10.7890625, - "text": "email" - }, - { - "id": 29901, - "logprob": -0.32495117, - "text": ":" - }, - { - "id": 259, - "logprob": -9.4921875, - "text": " " - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_regex.json b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_regex.json index 1ba9ae1e..4ef0fa55 100644 --- a/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_regex.json +++ b/integration-tests/models/__snapshots__/test_flash_grammar_llama/test_flash_llama_grammar_regex.json @@ -3,43 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 806, - "logprob": -11.890625, - "text": "Wh" - }, - { - "id": 1446, - "logprob": -3.6699219, - "text": "ats" - }, - { - "id": 2921, - "logprob": -7.8203125, - "text": "Go" - }, - { - "id": 468, - "logprob": -8.0703125, - "text": "og" - }, - { - "id": 793, - "logprob": -2.1875, - "text": "les" - }, - { - "id": 16332, - "logprob": -9.7109375, - "text": "DNS" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_all_params.json b/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_all_params.json index 9f145377..6e7da1c9 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_all_params.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "stop_sequence", "generated_tokens": 5, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -8.6875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.546875, - "text": "request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_load.json b/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_load.json index 3543dad2..08f0eaec 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_load.json +++ b/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -8.6875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.546875, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -8.6875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.546875, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -8.6875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.546875, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -8.6875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.546875, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_simple.json b/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_simple.json index a7f7d2f0..8a57c847 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_simple.json +++ b/integration-tests/models/__snapshots__/test_flash_llama/test_flash_llama_simple.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -8.6875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.546875, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2.json b/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2.json index f6e4bb90..f4fc292f 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2.json @@ -3,18 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.4375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_all_params.json b/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_all_params.json index 6b38e709..c3f2abb5 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_all_params.json @@ -3,18 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.453125, - "text": " request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_load.json b/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_load.json index ed369a87..c995d11c 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_load.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_exl2/test_flash_llama_exl2_load.json @@ -4,18 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.453125, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -88,18 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.40625, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -172,18 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.421875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -256,18 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.4140625, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8.json b/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8.json index 85cfb91f..75b0705e 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 2323, - "logprob": -9.421875, - "text": "Test" - }, - { - "id": 1715, - "logprob": -10.546875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_all_params.json b/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_all_params.json index 13c46f54..5f7d3db8 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_all_params.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 2323, - "logprob": -9.5234375, - "text": "Test" - }, - { - "id": 1715, - "logprob": -10.421875, - "text": " request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_load.json b/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_load.json index 1e9ff6c0..c95eeadc 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_load.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_fp8/test_flash_llama_fp8_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 2323, - "logprob": -9.5625, - "text": "Test" - }, - { - "id": 1715, - "logprob": -10.375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 2323, - "logprob": -9.5625, - "text": "Test" - }, - { - "id": 1715, - "logprob": -10.375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 2323, - "logprob": -9.5625, - "text": "Test" - }, - { - "id": 1715, - "logprob": -10.375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 2323, - "logprob": -9.5625, - "text": "Test" - }, - { - "id": 1715, - "logprob": -10.375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache.json b/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache.json index b82882c0..2c1e349e 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.1875, - "text": "What" - }, - { - "id": 374, - "logprob": -0.93359375, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.1796875, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.75, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_all_params.json b/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_all_params.json index f195f8f7..adae8e63 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 374, - "logprob": -18.0, - "text": " is" - }, - { - "id": 5655, - "logprob": -11.8359375, - "text": " deep" - }, - { - "id": 6975, - "logprob": -2.0703125, - "text": " learning" - }, - { - "id": 30, - "logprob": -5.9765625, - "text": "?" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_load.json b/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_load.json index c7acee46..b54346bc 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_load.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_fp8_kv_cache/test_flash_llama_fp8_kv_cache_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.1875, - "text": "What" - }, - { - "id": 374, - "logprob": -0.93359375, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.875, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.1796875, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.75, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.21875, - "text": "What" - }, - { - "id": 374, - "logprob": -0.95703125, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.9375, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.1328125, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.75, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.21875, - "text": "What" - }, - { - "id": 374, - "logprob": -0.95703125, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.9375, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.1328125, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.75, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 128000, - "logprob": null, - "text": "<|begin_of_text|>" - }, - { - "id": 3923, - "logprob": -6.21875, - "text": "What" - }, - { - "id": 374, - "logprob": -0.95703125, - "text": " is" - }, - { - "id": 5655, - "logprob": -9.9375, - "text": " deep" - }, - { - "id": 6975, - "logprob": -1.1328125, - "text": " learning" - }, - { - "id": 30, - "logprob": -1.75, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq.json b/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq.json index 0f99d259..adf52c84 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq.json @@ -3,18 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.34375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json b/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json index 4152b5b3..15a420e4 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_all_params.json @@ -3,18 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.34375, - "text": " request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_load.json b/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_load.json index 75e90303..d22cdde7 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_load.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq_load.json @@ -4,18 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.34375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -88,18 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.34375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -172,18 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.34375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -256,18 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2323, - "logprob": null, - "text": "Test" - }, - { - "id": 1715, - "logprob": -11.34375, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin.json b/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin.json index 47849a3f..2f261d86 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -12.390625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.0625, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_all_params.json b/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_all_params.json index bda2393e..c5a1cdb8 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_all_params.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -12.390625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.0625, - "text": "request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_load.json b/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_load.json index 44c26efb..a6698423 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_load.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_marlin/test_flash_llama_marlin_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -12.390625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.0625, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -12.390625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.0625, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -12.390625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.0625, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -12.390625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -11.0625, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin.json b/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin.json index 94883de5..ad4dc7b1 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.0859375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -16.359375, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_all_params.json b/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_all_params.json index 58cacb80..4dde974a 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_all_params.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.0859375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -16.359375, - "text": "request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_load.json b/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_load.json index 96a40fa4..0ba14b82 100644 --- a/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_load.json +++ b/integration-tests/models/__snapshots__/test_flash_llama_marlin_24/test_flash_llama_marlin24_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.0859375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -16.359375, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.0859375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -16.359375, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.0859375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -16.359375, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.0859375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -16.359375, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json b/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json index d8a298eb..c83a6010 100644 --- a/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 338, - "logprob": -10.0078125, - "text": "is" - }, - { - "id": 21784, - "logprob": -15.515625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -2.8847656, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -4.140625, - "text": "?" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json b/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json index 413af1d7..d7ae8871 100644 --- a/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json +++ b/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -10.734375, - "text": "What" - }, - { - "id": 338, - "logprob": -1.5488281, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.2890625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.2753906, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.48046875, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -107,38 +76,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -10.734375, - "text": "What" - }, - { - "id": 338, - "logprob": -1.5488281, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.2890625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.2724609, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.47729492, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -210,38 +148,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -10.734375, - "text": "What" - }, - { - "id": 338, - "logprob": -1.5488281, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.2890625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.2724609, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.47729492, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -313,38 +220,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -10.734375, - "text": "What" - }, - { - "id": 338, - "logprob": -1.5488281, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.2890625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.2724609, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.47729492, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_simple.json b/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_simple.json index 15754b14..d4b3f5ed 100644 --- a/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_simple.json +++ b/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_simple.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1724, - "logprob": -10.734375, - "text": "What" - }, - { - "id": 338, - "logprob": -1.5488281, - "text": "is" - }, - { - "id": 21784, - "logprob": -9.2890625, - "text": "Deep" - }, - { - "id": 29257, - "logprob": -1.2753906, - "text": "Learning" - }, - { - "id": 29973, - "logprob": -0.48046875, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral.json b/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral.json index 4e7de9a6..7e35afda 100644 --- a/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral.json +++ b/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 3735, - "logprob": -12.9140625, - "text": "Test" - }, - { - "id": 2159, - "logprob": -10.7578125, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_all_params.json b/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_all_params.json index c0dc6471..d98e7d97 100644 --- a/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_all_params.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 3735, - "logprob": -12.9140625, - "text": "Test" - }, - { - "id": 2159, - "logprob": -10.7578125, - "text": "request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_load.json b/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_load.json index 9d133077..f3a4a02b 100644 --- a/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_load.json +++ b/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 3735, - "logprob": -12.9140625, - "text": "Test" - }, - { - "id": 2159, - "logprob": -10.7578125, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 3735, - "logprob": -12.9140625, - "text": "Test" - }, - { - "id": 2159, - "logprob": -10.7578125, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 3735, - "logprob": -12.9140625, - "text": "Test" - }, - { - "id": 2159, - "logprob": -10.7578125, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 3735, - "logprob": -12.9140625, - "text": "Test" - }, - { - "id": 2159, - "logprob": -10.7578125, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral.json b/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral.json index 56419967..4ee34cde 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral.json @@ -3,48 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -6.1445312, - "text": "What" - }, - { - "id": 349, - "logprob": -1.4648438, - "text": "is" - }, - { - "id": 21135, - "logprob": -13.6875, - "text": "gradient" - }, - { - "id": 24871, - "logprob": -1.6005859, - "text": "descent" - }, - { - "id": 28804, - "logprob": -0.39526367, - "text": "?" - }, - { - "id": 13, - "logprob": -0.640625, - "text": "\n" - }, - { - "id": 13, - "logprob": -0.18774414, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_all_params.json b/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_all_params.json index e25086c6..d6b1490e 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 24871, - "logprob": -17.234375, - "text": "descent" - }, - { - "id": 28804, - "logprob": -7.4375, - "text": "?" - }, - { - "id": 13, - "logprob": -0.8046875, - "text": "\n" - }, - { - "id": 13, - "logprob": -0.33032227, - "text": "\n" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_load.json b/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_load.json index 55056cfd..2e0578fd 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_load.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral/test_flash_mixtral_load.json @@ -4,48 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -6.1445312, - "text": "What" - }, - { - "id": 349, - "logprob": -1.4648438, - "text": "is" - }, - { - "id": 21135, - "logprob": -13.6875, - "text": "gradient" - }, - { - "id": 24871, - "logprob": -1.6005859, - "text": "descent" - }, - { - "id": 28804, - "logprob": -0.39526367, - "text": "?" - }, - { - "id": 13, - "logprob": -0.640625, - "text": "\n" - }, - { - "id": 13, - "logprob": -0.18774414, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -118,48 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -6.1445312, - "text": "What" - }, - { - "id": 349, - "logprob": -1.4677734, - "text": "is" - }, - { - "id": 21135, - "logprob": -13.6875, - "text": "gradient" - }, - { - "id": 24871, - "logprob": -1.6015625, - "text": "descent" - }, - { - "id": 28804, - "logprob": -0.39453125, - "text": "?" - }, - { - "id": 13, - "logprob": -0.6435547, - "text": "\n" - }, - { - "id": 13, - "logprob": -0.18713379, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -232,48 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -6.140625, - "text": "What" - }, - { - "id": 349, - "logprob": -1.4658203, - "text": "is" - }, - { - "id": 21135, - "logprob": -13.6796875, - "text": "gradient" - }, - { - "id": 24871, - "logprob": -1.5898438, - "text": "descent" - }, - { - "id": 28804, - "logprob": -0.3955078, - "text": "?" - }, - { - "id": 13, - "logprob": -0.64501953, - "text": "\n" - }, - { - "id": 13, - "logprob": -0.18493652, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -346,48 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -6.1328125, - "text": "What" - }, - { - "id": 349, - "logprob": -1.4658203, - "text": "is" - }, - { - "id": 21135, - "logprob": -13.6796875, - "text": "gradient" - }, - { - "id": 24871, - "logprob": -1.5947266, - "text": "descent" - }, - { - "id": 28804, - "logprob": -0.39648438, - "text": "?" - }, - { - "id": 13, - "logprob": -0.6464844, - "text": "\n" - }, - { - "id": 13, - "logprob": -0.18688965, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq.json b/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq.json index 9ca22e10..3793cd84 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -12.296875, - "text": "What" - }, - { - "id": 349, - "logprob": -0.97216797, - "text": "is" - }, - { - "id": 3534, - "logprob": -10.1796875, - "text": "deep" - }, - { - "id": 5168, - "logprob": -0.9658203, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.44384766, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_all_params.json b/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_all_params.json index 38ab7263..817a4183 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 349, - "logprob": -13.921875, - "text": "is" - }, - { - "id": 3534, - "logprob": -11.2265625, - "text": "deep" - }, - { - "id": 5168, - "logprob": -2.3886719, - "text": "learning" - }, - { - "id": 28804, - "logprob": -4.7109375, - "text": "?" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_load.json b/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_load.json index 329d73ee..47d51e4d 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_load.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral_awq/test_flash_mixtral_awq_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -12.296875, - "text": "What" - }, - { - "id": 349, - "logprob": -0.97216797, - "text": "is" - }, - { - "id": 3534, - "logprob": -10.1796875, - "text": "deep" - }, - { - "id": 5168, - "logprob": -0.9658203, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.44384766, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -108,38 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -12.34375, - "text": "What" - }, - { - "id": 349, - "logprob": -0.96728516, - "text": "is" - }, - { - "id": 3534, - "logprob": -10.1796875, - "text": "deep" - }, - { - "id": 5168, - "logprob": -0.97265625, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.44189453, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -212,38 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -12.34375, - "text": "What" - }, - { - "id": 349, - "logprob": -0.96728516, - "text": "is" - }, - { - "id": 3534, - "logprob": -10.1796875, - "text": "deep" - }, - { - "id": 5168, - "logprob": -0.97265625, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.44189453, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -12.34375, - "text": "What" - }, - { - "id": 349, - "logprob": -0.96728516, - "text": "is" - }, - { - "id": 3534, - "logprob": -10.1796875, - "text": "deep" - }, - { - "id": 5168, - "logprob": -0.97265625, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.44189453, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq.json b/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq.json index b835bf07..d4ef11ad 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq.json @@ -3,38 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -9.2890625, - "text": "What" - }, - { - "id": 349, - "logprob": -1.1503906, - "text": "is" - }, - { - "id": 3534, - "logprob": -9.5859375, - "text": "deep" - }, - { - "id": 5168, - "logprob": -1.3945312, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.4555664, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_all_params.json b/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_all_params.json index 77c88599..3329348e 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 349, - "logprob": -12.0546875, - "text": "is" - }, - { - "id": 3534, - "logprob": -10.53125, - "text": "deep" - }, - { - "id": 5168, - "logprob": -2.71875, - "text": "learning" - }, - { - "id": 28804, - "logprob": -5.0078125, - "text": "?" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_load.json b/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_load.json index 959e3c55..abfa7618 100644 --- a/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_load.json +++ b/integration-tests/models/__snapshots__/test_flash_mixtral_gptq/test_flash_mixtral_gptq_load.json @@ -4,38 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -9.2890625, - 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"text": "" - }, - { - "id": 1824, - "logprob": -9.2890625, - "text": "What" - }, - { - "id": 349, - "logprob": -1.1425781, - "text": "is" - }, - { - "id": 3534, - "logprob": -9.59375, - "text": "deep" - }, - { - "id": 5168, - "logprob": -1.390625, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.45532227, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -316,38 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 1824, - "logprob": -9.2890625, - "text": "What" - }, - { - "id": 349, - "logprob": -1.1425781, - "text": "is" - }, - { - "id": 3534, - "logprob": -9.59375, - "text": "deep" - }, - { - "id": 5168, - "logprob": -1.390625, - "text": "learning" - }, - { - "id": 28804, - "logprob": -0.45532227, - "text": "?" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox.json b/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox.json index 66ddbaef..ff73932d 100644 --- a/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox.json +++ b/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox.json @@ -3,48 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 50278, - "logprob": null, - "text": "<|USER|>" - }, - { - "id": 1276, - "logprob": -4.5546875, - "text": "What" - }, - { - "id": 434, - "logprob": -4.234375, - "text": "'s" - }, - { - "id": 634, - "logprob": -5.1054688, - "text": " your" - }, - { - "id": 12315, - "logprob": -9.953125, - "text": " mood" - }, - { - "id": 3063, - "logprob": -4.0820312, - "text": " today" - }, - { - "id": 32, - "logprob": -0.15148926, - "text": "?" - }, - { - "id": 50279, - "logprob": -0.27026367, - "text": "<|ASSISTANT|>" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox_load.json b/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox_load.json index 5ef6b3a2..00773d24 100644 --- a/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox_load.json +++ b/integration-tests/models/__snapshots__/test_flash_neox/test_flash_neox_load.json @@ -4,48 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 50278, - "logprob": null, - "text": "<|USER|>" - }, - { - "id": 1276, - "logprob": -4.5546875, - "text": "What" - }, - { - "id": 434, - "logprob": -4.234375, - "text": "'s" - }, - { - "id": 634, - "logprob": -5.21875, - "text": " your" - }, - { - "id": 12315, - "logprob": -9.9375, - "text": " mood" - }, - { - "id": 3063, - "logprob": -4.1015625, - "text": " today" - }, - { - "id": 32, - "logprob": -0.15319824, - "text": "?" - }, - { - "id": 50279, - "logprob": -0.2614746, - "text": "<|ASSISTANT|>" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -117,48 +76,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 50278, - "logprob": null, - "text": "<|USER|>" - }, - { - "id": 1276, - "logprob": -4.5546875, - "text": "What" - }, - { - "id": 434, - "logprob": -4.234375, - "text": "'s" - }, - { - "id": 634, - "logprob": -5.1054688, - "text": " your" - }, - { - "id": 12315, - "logprob": -9.953125, - "text": " mood" - 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"prefill": [ - { - "id": 50278, - "logprob": null, - "text": "<|USER|>" - }, - { - "id": 1276, - "logprob": -4.5546875, - "text": "What" - }, - { - "id": 434, - "logprob": -4.234375, - "text": "'s" - }, - { - "id": 634, - "logprob": -5.21875, - "text": " your" - }, - { - "id": 12315, - "logprob": -9.9375, - "text": " mood" - }, - { - "id": 3063, - "logprob": -4.1015625, - "text": " today" - }, - { - "id": 32, - "logprob": -0.15319824, - "text": "?" - }, - { - "id": 50279, - "logprob": -0.2614746, - "text": "<|ASSISTANT|>" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox.json b/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox.json index 787704ce..619a6e48 100644 --- a/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox.json +++ b/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox.json @@ -3,98 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - 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"prefill": [ - { - "id": 50278, - "logprob": null, - "text": "<|prompter|>" - }, - { - "id": 1276, - "logprob": -8.03125, - "text": "What" - }, - { - "id": 310, - "logprob": -5.421875, - "text": " is" - }, - { - "id": 247, - "logprob": -2.1601562, - "text": " a" - }, - { - "id": 1167, - "logprob": -5.4609375, - "text": " mem" - }, - { - "id": 70, - "logprob": -0.005657196, - "text": "e" - }, - { - "id": 13, - "logprob": -7.28125, - "text": "," - }, - { - "id": 285, - "logprob": -0.2980957, - "text": " and" - }, - { - "id": 752, - "logprob": -2.1679688, - "text": " what" - }, - { - "id": 434, - "logprob": -5.6210938, - "text": "'s" - }, - { - "id": 253, - "logprob": -0.81103516, - "text": " the" - }, - { - "id": 2892, - "logprob": -6.6640625, - "text": " history" - }, - { - "id": 3212, - "logprob": -2.265625, - "text": " behind" - }, - { - "id": 436, - "logprob": -11.5078125, - "text": " this" - }, - { - "id": 3159, - "logprob": -2.1582031, - "text": " word" - }, - { - "id": 32, - "logprob": -0.008720398, - 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"prefill": [ - { - "id": 14402, - "logprob": null, - "text": "Test" - }, - { - "id": 2581, - "logprob": -11.6171875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_all_params.json b/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_all_params.json index b407ef71..f40c1614 100644 --- a/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_all_params.json @@ -3,18 +3,7 @@ "best_of_sequences": null, "finish_reason": "stop_sequence", "generated_tokens": 6, - "prefill": [ - { - "id": 14402, - "logprob": null, - "text": "Test" - }, - { - "id": 2581, - "logprob": -11.6171875, - "text": " request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_load.json b/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_load.json index 62f7fd32..2a9300c0 100644 --- a/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_load.json +++ b/integration-tests/models/__snapshots__/test_flash_phi/test_flash_phi_load.json @@ -4,18 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 14402, - "logprob": null, - "text": "Test" - }, - { - "id": 2581, - "logprob": -11.6171875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -88,18 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 14402, - "logprob": null, - "text": "Test" - }, - { - "id": 2581, - "logprob": -11.6171875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -172,18 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 14402, - "logprob": null, - "text": "Test" - }, - { - "id": 2581, - "logprob": -11.6171875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -256,18 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 14402, - "logprob": null, - "text": "Test" - }, - { - "id": 2581, - "logprob": -11.6171875, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe.json b/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe.json index cfabe3c6..dcbf729a 100644 --- a/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe.json +++ b/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe.json @@ -3,43 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1724, - "logprob": null, - "text": "What" - }, - { - "id": 338, - "logprob": -0.6201172, - "text": "is" - }, - { - "id": 16030, - "logprob": -13.6484375, - "text": "gradient" - }, - { - "id": 26815, - "logprob": -0.003894806, - "text": "descent" - }, - { - "id": 29973, - "logprob": -2.6386719, - "text": "?" - }, - { - "id": 13, - "logprob": -6.46875, - "text": "\n" - }, - { - "id": 13, - "logprob": -6.6875, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_all_params.json b/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_all_params.json index b524859f..5128a175 100644 --- a/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_all_params.json @@ -3,33 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 338, - "logprob": null, - "text": "is" - }, - { - "id": 16030, - "logprob": -13.328125, - "text": "gradient" - }, - { - "id": 26815, - "logprob": -0.24023438, - "text": "descent" - }, - { - "id": 29973, - "logprob": -3.1386719, - "text": "?" - }, - { - "id": 13, - "logprob": -3.0878906, - "text": "\n" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_load.json b/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_load.json index 2c977d8b..1f9f708d 100644 --- a/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_load.json +++ b/integration-tests/models/__snapshots__/test_flash_phi35_moe/test_flash_phi35_moe_load.json @@ -4,43 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1724, - "logprob": null, - "text": "What" - }, - { - "id": 338, - "logprob": -0.6201172, - "text": "is" - }, - { - "id": 16030, - "logprob": -13.6484375, - "text": "gradient" - }, - { - "id": 26815, - "logprob": -0.003894806, - "text": "descent" - }, - { - "id": 29973, - "logprob": -2.6386719, - "text": "?" - }, - { - "id": 13, - "logprob": -6.46875, - "text": "\n" - }, - { - "id": 13, - "logprob": -6.6875, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -113,43 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1724, - "logprob": null, - "text": "What" - }, - { - "id": 338, - "logprob": -0.6113281, - "text": "is" - }, - { - "id": 16030, - "logprob": -13.6640625, - "text": "gradient" - }, - { - "id": 26815, - "logprob": -0.003929138, - "text": "descent" - }, - { - "id": 29973, - "logprob": -2.625, - "text": "?" - }, - { - "id": 13, - "logprob": -6.484375, - "text": "\n" - }, - { - "id": 13, - "logprob": -6.6875, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -222,43 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1724, - "logprob": null, - "text": "What" - }, - { - "id": 338, - "logprob": -0.609375, - "text": "is" - }, - { - "id": 16030, - "logprob": -13.671875, - "text": "gradient" - }, - { - "id": 26815, - "logprob": -0.0040016174, - "text": "descent" - }, - { - "id": 29973, - "logprob": -2.6230469, - "text": "?" - }, - { - "id": 13, - "logprob": -6.453125, - "text": "\n" - }, - { - "id": 13, - "logprob": -6.6875, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -331,43 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1724, - "logprob": null, - "text": "What" - }, - { - "id": 338, - "logprob": -0.609375, - "text": "is" - }, - { - "id": 16030, - "logprob": -13.6640625, - "text": "gradient" - }, - { - "id": 26815, - "logprob": -0.0038967133, - "text": "descent" - }, - { - "id": 29973, - "logprob": -2.6347656, - "text": "?" - }, - { - "id": 13, - "logprob": -6.453125, - "text": "\n" - }, - { - "id": 13, - "logprob": -6.6875, - "text": "\n" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2.json b/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2.json index 7219f9e6..65d212f0 100644 --- a/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2.json +++ b/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2.json @@ -3,18 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2271, - "logprob": null, - "text": "Test" - }, - { - "id": 1681, - "logprob": -8.8515625, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_all_params.json b/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_all_params.json index 4a2936af..1b656fcb 100644 --- a/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_all_params.json +++ b/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_all_params.json @@ -3,18 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2271, - "logprob": null, - "text": "Test" - }, - { - "id": 1681, - "logprob": -8.8515625, - "text": " request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_load.json b/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_load.json index 4786ff24..a01e3cc3 100644 --- a/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_load.json +++ b/integration-tests/models/__snapshots__/test_flash_qwen2/test_flash_qwen2_load.json @@ -4,18 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2271, - "logprob": null, - "text": "Test" - }, - { - "id": 1681, - "logprob": -8.8515625, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -88,18 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2271, - "logprob": null, - "text": "Test" - }, - { - "id": 1681, - "logprob": -8.8515625, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -172,18 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2271, - "logprob": null, - "text": "Test" - }, - { - "id": 1681, - "logprob": -8.8515625, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -256,18 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 2271, - "logprob": null, - "text": "Test" - }, - { - "id": 1681, - "logprob": -8.8515625, - "text": " request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder.json b/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder.json index 0293e35a..cea601a7 100644 --- a/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder.json +++ b/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder.json @@ -3,28 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 563, - "logprob": null, - "text": "def" - }, - { - "id": 942, - "logprob": -5.1367188, - "text": " print" - }, - { - "id": 62, - "logprob": -0.24450684, - "text": "_" - }, - { - "id": 7196, - "logprob": -6.9609375, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder_load.json b/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder_load.json index a03580b3..fb73b657 100644 --- a/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder_load.json +++ b/integration-tests/models/__snapshots__/test_flash_santacoder/test_flash_santacoder_load.json @@ -4,28 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 563, - "logprob": null, - "text": "def" - }, - { - "id": 942, - "logprob": -5.1367188, - "text": " print" - }, - { - "id": 62, - "logprob": -0.24450684, - "text": "_" - }, - { - "id": 7196, - "logprob": -6.9609375, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -97,28 +76,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 563, - "logprob": null, - "text": "def" - }, - { - "id": 942, - "logprob": -5.1367188, - "text": " print" - }, - { - "id": 62, - "logprob": -0.24450684, - "text": "_" - }, - { - "id": 7196, - "logprob": -6.9609375, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -190,28 +148,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 563, - "logprob": null, - "text": "def" - }, - { - "id": 942, - "logprob": -5.1367188, - "text": " print" - }, - { - "id": 62, - "logprob": -0.24450684, - "text": "_" - }, - { - "id": 7196, - "logprob": -6.9609375, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -283,28 +220,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 563, - "logprob": null, - "text": "def" - }, - { - "id": 942, - "logprob": -5.1367188, - "text": " print" - }, - { - "id": 62, - "logprob": -0.24450684, - "text": "_" - }, - { - "id": 7196, - "logprob": -6.9609375, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder.json b/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder.json index 8505c1db..4237026d 100644 --- a/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder.json +++ b/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder.json @@ -3,28 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 589, - "logprob": null, - "text": "def" - }, - { - "id": 1459, - "logprob": -5.6289062, - "text": " print" - }, - { - "id": 81, - "logprob": -1.6005859, - "text": "_" - }, - { - "id": 7656, - "logprob": -5.9921875, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json b/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json index 164e3cf2..b4728745 100644 --- a/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json +++ b/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_default_params.json @@ -3,28 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 60, - "prefill": [ - { - "id": 589, - "logprob": null, - "text": "def" - }, - { - "id": 1459, - "logprob": -5.625, - "text": " print" - }, - { - "id": 81, - "logprob": -1.6064453, - "text": "_" - }, - { - "id": 7656, - "logprob": -5.9921875, - "text": "hello" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_load.json b/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_load.json index 0b3ad554..52b576f7 100644 --- a/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_load.json +++ b/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder_load.json @@ -4,28 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 589, - "logprob": null, - "text": "def" - }, - { - "id": 1459, - "logprob": -5.6289062, - "text": " print" - }, - { - "id": 81, - "logprob": -1.6005859, - "text": "_" - }, - { - "id": 7656, - "logprob": -5.9921875, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -97,28 +76,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 589, - "logprob": null, - "text": "def" - }, - { - "id": 1459, - "logprob": -5.6289062, - "text": " print" - }, - { - "id": 81, - "logprob": -1.6005859, - "text": "_" - }, - { - "id": 7656, - "logprob": -5.9921875, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -190,28 +148,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 589, - "logprob": null, - "text": "def" - }, - { - "id": 1459, - "logprob": -5.6289062, - "text": " print" - }, - { - "id": 81, - "logprob": -1.6005859, - "text": "_" - }, - { - "id": 7656, - "logprob": -5.9921875, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -283,28 +220,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 589, - "logprob": null, - "text": "def" - }, - { - "id": 1459, - "logprob": -5.6289062, - "text": " print" - }, - { - "id": 81, - "logprob": -1.6005859, - "text": "_" - }, - { - "id": 7656, - "logprob": -5.9921875, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2.json b/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2.json index 36a2ff4d..0b0a84f7 100644 --- a/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2.json +++ b/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2.json @@ -3,28 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 610, - "logprob": null, - "text": "def" - }, - { - "id": 1489, - "logprob": -5.2617188, - "text": " print" - }, - { - "id": 100, - "logprob": -0.38476562, - "text": "_" - }, - { - "id": 7670, - "logprob": -7.640625, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_default_params.json b/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_default_params.json index 412b19b4..914e59c0 100644 --- a/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_default_params.json +++ b/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_default_params.json @@ -3,28 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 60, - "prefill": [ - { - "id": 610, - "logprob": null, - "text": "def" - }, - { - "id": 1489, - "logprob": -5.265625, - "text": " print" - }, - { - "id": 100, - "logprob": -0.38305664, - "text": "_" - }, - { - "id": 7670, - "logprob": -7.640625, - "text": "hello" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_load.json b/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_load.json index 9e82d4be..7e42b91e 100644 --- a/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_load.json +++ b/integration-tests/models/__snapshots__/test_flash_starcoder2/test_flash_starcoder2_load.json @@ -4,28 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 610, - "logprob": null, - "text": "def" - }, - { - "id": 1489, - "logprob": -5.2617188, - "text": " print" - }, - { - "id": 100, - "logprob": -0.38476562, - "text": "_" - }, - { - "id": 7670, - "logprob": -7.640625, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -98,28 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 610, - "logprob": null, - "text": "def" - }, - { - "id": 1489, - "logprob": -5.2617188, - "text": " print" - }, - { - "id": 100, - "logprob": -0.38476562, - "text": "_" - }, - { - "id": 7670, - "logprob": -7.640625, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -192,28 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 610, - "logprob": null, - "text": "def" - }, - { - "id": 1489, - "logprob": -5.2617188, - "text": " print" - }, - { - "id": 100, - "logprob": -0.38476562, - "text": "_" - }, - { - "id": 7670, - "logprob": -7.640625, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -286,28 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 610, - "logprob": null, - "text": "def" - }, - { - "id": 1489, - "logprob": -5.2617188, - "text": " print" - }, - { - "id": 100, - "logprob": -0.38476562, - "text": "_" - }, - { - "id": 7670, - "logprob": -7.640625, - "text": "hello" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq.json b/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq.json index 8548e376..1b640717 100644 --- a/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq.json +++ b/integration-tests/models/__snapshots__/test_flash_starcoder_gptq/test_flash_starcoder_gptq.json @@ -3,68 +3,7 @@ "best_of_sequences": null, "finish_reason": "eos_token", "generated_tokens": 2, - "prefill": [ - { - "id": 589, - "logprob": null, - "text": "def" - }, - { - "id": 3226, - "logprob": -9.0234375, - "text": " ge" - }, - { - "id": 21017, - "logprob": -9.0859375, - "text": "ometric" - }, - { - "id": 81, - "logprob": -0.25585938, - "text": "_" - }, - { - "id": 6009, - "logprob": -2.1972656, - "text": "mean" - }, - 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"prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.8359375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -9.6171875, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_all_params.json b/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_all_params.json index 9b5ee9ee..da2d7337 100644 --- a/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_all_params.json +++ b/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_all_params.json @@ -3,23 +3,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.7890625, - "text": "Test" - }, - { - "id": 2009, - "logprob": -9.625, - "text": "request" - } - ], + "prefill": [], "seed": 0, "tokens": [ { diff --git a/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_load.json b/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_load.json index df975635..05209edf 100644 --- a/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_load.json +++ b/integration-tests/models/__snapshots__/test_server_gptq_quantized/test_server_gptq_quantized_load.json @@ -4,23 +4,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.8828125, - "text": "Test" - }, - { - "id": 2009, - "logprob": -9.5859375, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -93,23 +77,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.796875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -9.625, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -182,23 +150,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.9296875, - "text": "Test" - }, - { - "id": 2009, - "logprob": -9.5703125, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { @@ -271,23 +223,7 @@ "best_of_sequences": null, "finish_reason": "length", "generated_tokens": 10, - "prefill": [ - { - "id": 1, - "logprob": null, - "text": "" - }, - { - "id": 4321, - "logprob": -9.84375, - "text": "Test" - }, - { - "id": 2009, - "logprob": -9.6171875, - "text": "request" - } - ], + "prefill": [], "seed": null, "tokens": [ { diff --git a/integration-tests/models/test_flash_phi35_moe.py b/integration-tests/models/test_flash_phi35_moe.py index d3043b02..0cb8f85d 100644 --- a/integration-tests/models/test_flash_phi35_moe.py +++ b/integration-tests/models/test_flash_phi35_moe.py @@ -6,6 +6,7 @@ def flash_phi35_moe_handle(launcher): with launcher( "microsoft/Phi-3.5-MoE-instruct", num_shard=4, + max_batch_prefill_tokens=10000, ) as handle: yield handle diff --git a/integration-tests/models/test_mllama.py b/integration-tests/models/test_mllama.py index 9cece236..f2335690 100644 --- a/integration-tests/models/test_mllama.py +++ b/integration-tests/models/test_mllama.py @@ -4,7 +4,10 @@ import asyncio @pytest.fixture(scope="module") def mllama_handle(launcher): - with launcher("meta-llama/Llama-3.2-11B-Vision-Instruct", num_shard=2) as handle: + with launcher( + "meta-llama/Llama-3.2-11B-Vision-Instruct", + num_shard=2, + ) as handle: yield handle @@ -75,7 +78,9 @@ async def test_mllama_load(mllama, generate_load, response_snapshot): }, ], ) - for i in range(4) + # TODO with v3, 4 breaks here. Nothing accounts of the image VRAM + # because mllama is the only one doing its thing. + for i in range(2) ] responses = await asyncio.gather(*futures) diff --git a/launcher/src/main.rs b/launcher/src/main.rs index 72bd0ebd..9001a4d5 100644 --- a/launcher/src/main.rs +++ b/launcher/src/main.rs @@ -29,6 +29,26 @@ use tracing_subscriber::{filter::LevelFilter, EnvFilter}; mod env_runtime; mod gpu; +fn compute_optimal(config: Option<&Config>, compute: Option<&ComputeType>) -> Option { + if let (Some(config), Some(compute)) = (config, compute) { + if let (Some(f16_max_compute), Some(model_compute)) = (compute.f16_flop(), config.flop()) { + tracing::debug!("MAx compute {f16_max_compute} model compute {model_compute}"); + let optimal_size = (f16_max_compute / model_compute) as usize; + if optimal_size > 100 { + // Ignore calculations that's too low + // Most likely an error + Some(optimal_size) + } else { + None + } + } else { + None + } + } else { + None + } +} + fn get_config( model_id: &str, revision: &Option, @@ -144,10 +164,15 @@ struct RawConfig { quantization_config: Option, n_embd: Option, hidden_size: Option, + intermediate_size: Option, num_attention_heads: Option, + num_key_value_heads: Option, + num_hidden_layers: Option, head_dim: Option, vision_config: Option, is_encoder_decoder: Option, + #[serde(rename = "num_experts_per_tok")] + experts: Option, } #[derive(Deserialize)] @@ -155,17 +180,56 @@ struct QuantizationConfig { quant_method: Option, } -#[derive(Deserialize)] +#[derive(Debug, Deserialize)] struct VisionConfig {} -#[derive(Deserialize)] +#[derive(Debug, Deserialize)] struct Config { max_position_embeddings: Option, quantize: Option, head_dim: Option, + num_heads: Option, + num_kv_heads: Option, + num_layers: Option, + intermediate_size: Option, + hidden_size: Option, model_type: Option, vision_config: Option, is_encoder_decoder: bool, + experts: Option, +} + +impl Config { + fn flop(&self) -> Option { + if self.vision_config.is_some() { + // VLM are much harder to predict and VRAM requirements + // Are more complex. + return None; + } + let num_heads = self.num_heads? as u64; + let num_kv_heads = self.num_kv_heads? as u64; + let head_dim = self.head_dim? as u64; + let hidden_size = self.hidden_size? as u64; + let intermediate_size = if let Some(experts) = self.experts { + (self.intermediate_size? * experts) as u64 + } else { + self.intermediate_size? as u64 + }; + let num_layers = self.num_layers? as u64; + + let q_flops = 2 * num_heads * head_dim * hidden_size; + let k_flops = 2 * num_kv_heads * head_dim * hidden_size; + let v_flops = 2 * num_kv_heads * head_dim * hidden_size; + let attn_flops = 2 * num_heads * head_dim * hidden_size; + let o_flops = 2 * num_heads * head_dim * hidden_size; + let attn_layer_flops = q_flops + k_flops + v_flops + attn_flops + o_flops; + + let gate_up_down_flops = 2 * 3 * hidden_size * intermediate_size; + + let layer_flops = attn_layer_flops + gate_up_down_flops; + let total = layer_flops * num_layers; + Some(total) + } } impl From for Config { @@ -175,25 +239,25 @@ impl From for Config { .or(other.max_seq_len) .or(other.n_positions); let quantize = other.quantization_config.and_then(|q| q.quant_method); - let head_dim = other.head_dim.or_else(|| { - match (other.hidden_size, other.n_embd, other.num_attention_heads) { - (Some(hidden_size), _, Some(num_attention_heads)) - if hidden_size % num_attention_heads == 0 => - { - Some(hidden_size / num_attention_heads) - } - // Legacy - (_, Some(hidden_size), Some(num_attention_heads)) + let hidden_size = other.hidden_size.or(other.n_embd); + let head_dim = other + .head_dim + .or_else(|| match (hidden_size, other.num_attention_heads) { + (Some(hidden_size), Some(num_attention_heads)) if hidden_size % num_attention_heads == 0 => { Some(hidden_size / num_attention_heads) } _ => None, - } - }); + }); + let num_heads = other.num_attention_heads; + let num_layers = other.num_hidden_layers; + let num_kv_heads = other.num_key_value_heads.or(other.num_attention_heads); + let intermediate_size = other.intermediate_size; let model_type = other.model_type; let vision_config = other.vision_config; let is_encoder_decoder = other.is_encoder_decoder.unwrap_or(false); + let experts = other.experts; Config { max_position_embeddings, quantize, @@ -201,6 +265,12 @@ impl From for Config { model_type, vision_config, is_encoder_decoder, + hidden_size, + num_heads, + num_kv_heads, + intermediate_size, + num_layers, + experts, } } } @@ -698,6 +768,14 @@ struct Args { /// Default is 2MB #[clap(default_value = "2000000", long, env)] payload_limit: usize, + + /// Enables prefill logprobs + /// + /// Logprobs in the prompt are deactivated by default because they consume + /// a large amount of VRAM (especially for long prompts). + /// Using this flag reallows users to ask for them. + #[clap(long, env)] + enable_prefill_logprobs: bool, } #[derive(Debug)] @@ -733,6 +811,7 @@ fn shard_manager( max_batch_size: Option, max_input_tokens: Option, lora_adapters: Option, + enable_prefill_logprobs: bool, otlp_endpoint: Option, otlp_service_name: String, log_level: LevelFilter, @@ -882,6 +961,11 @@ fn shard_manager( envs.push(("LORA_ADAPTERS".into(), lora_adapters.into())); } + // Logprobs + if enable_prefill_logprobs { + envs.push(("REQUEST_LOGPROBS".into(), "1".into())); + } + // If huggingface_hub_cache is some, pass it to the shard // Useful when running inside a docker container if let Some(huggingface_hub_cache) = huggingface_hub_cache { @@ -1373,6 +1457,7 @@ fn spawn_shards( let rope_factor = args.rope_factor; let max_batch_size = args.max_batch_size; let lora_adapters = args.lora_adapters.clone(); + let enable_prefill_logprobs = args.enable_prefill_logprobs; thread::spawn(move || { shard_manager( model_id, @@ -1400,6 +1485,7 @@ fn spawn_shards( max_batch_size, max_input_tokens, lora_adapters, + enable_prefill_logprobs, otlp_endpoint, otlp_service_name, max_log_level, @@ -1439,7 +1525,45 @@ fn spawn_shards( Ok(()) } -fn compute_type(num_shard: usize) -> Option { +#[derive(Debug)] +struct ComputeType { + count: usize, + card: String, +} + +impl ComputeType { + fn f16_flop(&self) -> Option { + let card_flop = match &self.card[..] { + // https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4090/ + // Specs are unclear https://www.itcreations.com/nvidia-gpu/nvidia-geforce-rtx-4090-gpu + "nvidia-4090" => Some(82 * 10u64.pow(12)), + // https://www.nvidia.com/en-us/data-center/tesla-t4/ + "nvidia-t4" => Some(65 * 10u64.pow(12)), + // https://www.nvidia.com/en-us/data-center/l4/ + "nvidia-l4" => Some(121 * 10u64.pow(12)), + // https://www.nvidia.com/en-us/data-center/products/a10-gpu/ + "nvidia-a10g" => Some(125 * 10u64.pow(12)), + // https://www.nvidia.com/en-us/data-center/h100/ + // https://www.techpowerup.com/gpu-specs/docs/nvidia-gh100-architecture.pdf + "nvidia-h100-80gb-hbm3" => Some(900 * 10u64.pow(12)), + // https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf + "nvidia-a100" => Some(312 * 10u64.pow(12)), + card => { + tracing::warn!("Unkown compute for card {card}"); + None + } + }; + card_flop.map(|f| f * self.count as u64) + } +} + +impl From for OsString { + fn from(value: ComputeType) -> Self { + format!("{}-{}", value.count, value.card).into() + } +} + +fn compute_type(num_shard: usize) -> Option { let output = Command::new("nvidia-smi") .args(["--query-gpu=gpu_name", "--format=csv"]) .output() @@ -1447,8 +1571,10 @@ fn compute_type(num_shard: usize) -> Option { let output = String::from_utf8(output.stdout).ok()?; let fullname = output.split('\n').nth(1)?; let cardname = fullname.replace(' ', "-").to_lowercase(); - let compute_type = format!("{num_shard}-{cardname}"); - Some(compute_type) + Some(ComputeType { + count: num_shard, + card: cardname, + }) } fn spawn_webserver( @@ -1700,26 +1826,22 @@ fn main() -> Result<(), LauncherError> { let config: Option = get_config(&args.model_id, &args.revision).ok(); let quantize = config.as_ref().and_then(|c| c.quantize); // Quantization usually means you're even more RAM constrained. - let max_default = 4096; - let max_position_embeddings = if let Some(config) = &config { - if let Some(max_position_embeddings) = config.max_position_embeddings { - if max_position_embeddings > max_default { - max_default - } else { - max_position_embeddings - } - } else { - max_default - } - } else { - max_default - }; let (prefix_caching, attention) = resolve_attention(&config, &args.lora_adapters); tracing::info!("Using attention {attention} - Prefix caching {prefix_caching}"); std::env::set_var("PREFIX_CACHING", prefix_caching); std::env::set_var("ATTENTION", attention); + let num_shard = find_num_shards(args.sharded, args.num_shard)?; + if num_shard > 1 { + if matches!(args.quantize, Some(Quantization::Exl2)) { + return Err(LauncherError::ArgumentValidation( + "Sharding is currently not supported with `exl2` quantization".into(), + )); + } + tracing::info!("Sharding model on {num_shard} processes"); + } + let max_input_tokens = { match (args.max_input_tokens, args.max_input_length) { (Some(max_input_tokens), Some(max_input_length)) => { @@ -1739,9 +1861,17 @@ fn main() -> Result<(), LauncherError> { Some(max_batch_prefill_tokens) => max_batch_prefill_tokens, None => { // TODO figure out hardware optimal value - let value = 4096.min(max_position_embeddings as u32); + let compute_type = compute_type(num_shard); + let compute_optimal = compute_optimal(config.as_ref(), compute_type.as_ref()); + let default = compute_optimal.unwrap_or(4096); + let max_position_embeddings = config.and_then(|c| c.max_position_embeddings); + let value = if let Some(max_position_embeddings) = max_position_embeddings { + default.min(max_position_embeddings) + } else { + default + }; tracing::info!("Default `max_batch_prefill_tokens` to {value}"); - value + value as u32 } } }; @@ -1796,16 +1926,6 @@ fn main() -> Result<(), LauncherError> { ); } - let num_shard = find_num_shards(args.sharded, args.num_shard)?; - if num_shard > 1 { - if matches!(args.quantize, Some(Quantization::Exl2)) { - return Err(LauncherError::ArgumentValidation( - "Sharding is currently not supported with `exl2` quantization".into(), - )); - } - tracing::info!("Sharding model on {num_shard} processes"); - } - if let Some(ref max_batch_total_tokens) = args.max_batch_total_tokens { if let Some(max_total_tokens) = max_total_tokens { if max_total_tokens as u32 > *max_batch_total_tokens { diff --git a/load_tests/Makefile b/load_tests/Makefile new file mode 100644 index 00000000..9199aa3b --- /dev/null +++ b/load_tests/Makefile @@ -0,0 +1,9 @@ + +ShareGPT_V3_unfiltered_cleaned_split.json: + wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json + +prepare_share: ShareGPT_V3_unfiltered_cleaned_split.json + python filter.py + +prepare_orca: + python orca.py diff --git a/load_tests/common.js b/load_tests/common.js new file mode 100644 index 00000000..d890bf67 --- /dev/null +++ b/load_tests/common.js @@ -0,0 +1,94 @@ +import { check } from 'k6'; +import { scenario } from 'k6/execution'; +import http from 'k6/http'; +import { Trend, Counter } from 'k6/metrics'; + +const host = __ENV.HOST; +const model_id = __ENV.MODEL_ID; +const timePerToken = new Trend('time_per_token', true); +const tokens = new Counter('tokens'); +const new_tokens = new Counter('new_tokens'); +const input_tokens = new Counter('input_tokens'); +const max_new_tokens = 50; + +// const shareGPT = JSON.parse(open("ShareGPT_V3_unfiltered_cleaned_split.json")) +const shareGPT = JSON.parse(open("small.json")) + + +export function get_options() { + return { + thresholds: { + http_req_failed: ['rate==0'], + // time_per_token: [{ + // threshold: `p(50)<${5 * reference_latency_ms}`, + // abortOnFail: true, + // delayAbortEval: '10s' + // }], + }, + scenarios: { + // single_user: { + // executor: 'constant-arrival-rate', + // duration: '60s', + // preAllocatedVUs: 1, + // rate: 20, + // timeUnit: '1s', + // }, + // load_test: { + // executor: 'constant-arrival-rate', + // duration: '60s', + // preAllocatedVUs: 100, + // rate: 1, + // timeUnit: '1s', + // }, + // breakpoint: { + // executor: 'ramping-arrival-rate', //Assure load increase if the system slows + // preAllocatedVUs: 300, + // stages: [ + // { duration: '60s', target: 100 }, // just slowly ramp-up to a HUGE load + // ], + // }, + throughput: { + executor: 'shared-iterations', + vus: 100, + iterations: 200, + maxDuration: '40s', + }, + }, + }; +} + +function generate_payload(gpt, max_new_tokens) { + const input = gpt["conversations"][0]["value"]; + return { "messages": [{ "role": "user", "content": input }], "temperature": 0, "model": `${model_id}`, "max_tokens": max_new_tokens } +} + +export const options = get_options(); + +export default function run() { + const headers = { 'Content-Type': 'application/json' }; + const query = shareGPT[scenario.iterationInTest % shareGPT.length]; + const payload = JSON.stringify(generate_payload(query, max_new_tokens)); + const res = http.post(`http://${host}/v1/chat/completions`, payload, { + headers, + }); + if (res.status >= 400 && res.status < 500) { + return; + } + + + check(res, { + 'Post status is 200': (res) => res.status === 200, + }); + const duration = res.timings.duration; + + if (res.status === 200) { + const body = res.json(); + const completion_tokens = body.usage.completion_tokens; + const latency_ms_per_token = duration / completion_tokens; + timePerToken.add(latency_ms_per_token); + const prompt_tokens = body.usage.prompt_tokens; + input_tokens.add(prompt_tokens); + new_tokens.add(completion_tokens); + tokens.add(completion_tokens + prompt_tokens); + } +} diff --git a/load_tests/filter.py b/load_tests/filter.py new file mode 100644 index 00000000..a00226ed --- /dev/null +++ b/load_tests/filter.py @@ -0,0 +1,26 @@ +import json + + +def main(): + with open("./ShareGPT_V3_unfiltered_cleaned_split.json", "r") as f: + data = json.load(f) + + # Select only the first 2k conversations that start with a human. + max = 2000 + conversations = [] + for conversation in data: + conv = conversation.get("conversations") + if conv and conv[0]["from"] == "human": + # Trim the rest of the output + conversation["conversations"] = conversation["conversations"][:1] + conversations.append(conversation) + + if len(conversation) >= max: + break + + with open("./small.json", "w") as f: + data = json.dump(conversations, f, indent=4) + + +if __name__ == "__main__": + main() diff --git a/load_tests/long.js b/load_tests/long.js new file mode 100644 index 00000000..2aec977e --- /dev/null +++ b/load_tests/long.js @@ -0,0 +1,94 @@ +import { check } from 'k6'; +import { scenario } from 'k6/execution'; +import http from 'k6/http'; +import { Trend, Counter } from 'k6/metrics'; + +const host = __ENV.HOST; +const model_id = __ENV.MODEL_ID; +const timePerToken = new Trend('time_per_token', true); +const tokens = new Counter('tokens'); +const new_tokens = new Counter('new_tokens'); +const input_tokens = new Counter('input_tokens'); +const max_new_tokens = 50; + +// const shareGPT = JSON.parse(open("ShareGPT_V3_unfiltered_cleaned_split.json")) +const shareGPT = JSON.parse(open("long.json")) + + +export function get_options() { + return { + thresholds: { + http_req_failed: ['rate==0'], + // time_per_token: [{ + // threshold: `p(50)<${5 * reference_latency_ms}`, + // abortOnFail: true, + // delayAbortEval: '10s' + // }], + }, + scenarios: { + // single_user: { + // executor: 'constant-arrival-rate', + // duration: '60s', + // preAllocatedVUs: 1, + // rate: 20, + // timeUnit: '1s', + // }, + // load_test: { + // executor: 'constant-arrival-rate', + // duration: '60s', + // preAllocatedVUs: 100, + // rate: 1, + // timeUnit: '1s', + // }, + // breakpoint: { + // executor: 'ramping-arrival-rate', //Assure load increase if the system slows + // preAllocatedVUs: 300, + // stages: [ + // { duration: '60s', target: 100 }, // just slowly ramp-up to a HUGE load + // ], + // }, + throughput: { + executor: 'shared-iterations', + vus: 10, + iterations: 10, + maxDuration: '120s', + }, + }, + }; +} + +function generate_payload(gpt, max_new_tokens) { + const input = gpt["conversations"][0]["value"]; + return { "messages": [{ "role": "user", "content": input }], "temperature": 0, "model": `${model_id}`, "max_tokens": max_new_tokens } +} + +export const options = get_options(); + +export default function run() { + const headers = { 'Content-Type': 'application/json' }; + const query = shareGPT[scenario.iterationInTest % shareGPT.length]; + const payload = JSON.stringify(generate_payload(query, max_new_tokens)); + const res = http.post(`http://${host}/v1/chat/completions`, payload, { + headers, + }); + if (res.status >= 400 && res.status < 500) { + return; + } + + + check(res, { + 'Post status is 200': (res) => res.status === 200, + }); + const duration = res.timings.duration; + + if (res.status === 200) { + const body = res.json(); + const completion_tokens = body.usage.completion_tokens; + const latency_ms_per_token = duration / completion_tokens; + timePerToken.add(latency_ms_per_token); + const prompt_tokens = body.usage.prompt_tokens; + input_tokens.add(prompt_tokens); + new_tokens.add(completion_tokens); + tokens.add(completion_tokens + prompt_tokens); + } +} diff --git a/load_tests/long.py b/load_tests/long.py new file mode 100644 index 00000000..653064ef --- /dev/null +++ b/load_tests/long.py @@ -0,0 +1,19 @@ +import datasets +import json + + +dataset = datasets.load_dataset("ccdv/govreport-summarization") +max_new_tokens = 50 + + +conversations = [] + +for i, item in enumerate(dataset["test"]): + report = item["report"] + + messages = [{"from": "human", "value": f"Summarize this report: ```{report}```"}] + + conversations.append({"conversations": messages}) + +with open("long.json", "w") as f: + json.dump(conversations, f, indent=4) diff --git a/load_tests/long_prompt2.py b/load_tests/long_prompt2.py new file mode 100644 index 00000000..d65aa1cf --- /dev/null +++ b/load_tests/long_prompt2.py @@ -0,0 +1,22 @@ +# https://www.gutenberg.org/cache/epub/103/pg103.txt +from openai import OpenAI +import os +import requests + +if not os.path.exists("pg103.txt"): + response = requests.get("https://www.gutenberg.org/cache/epub/103/pg103.txt") + with open("pg103.txt", "w") as f: + f.write(response.text) + + +length = 130000 +with open("pg103.txt", "r") as f: + data = f.read() + +messages = [{"role": "user", "content": data[: length * 4]}] + +client = OpenAI(base_url="http://localhost:8000/v1", api_key="w") + +completion = client.chat.completions.create( + model="meta-llama/Llama-3.1-8B-Instruct", messages=messages, max_tokens=2 +) diff --git a/load_tests/orca.py b/load_tests/orca.py new file mode 100644 index 00000000..e445afd5 --- /dev/null +++ b/load_tests/orca.py @@ -0,0 +1,27 @@ +import json +import datasets +import tqdm + + +def main(): + dataset = datasets.load_dataset("Open-Orca/OpenOrca", split="train") + # Select only the first 2k conversations that start with a human. + max = min(2000, len(dataset)) + conversations = [] + for item in tqdm.tqdm(dataset, total=max): + conversation = { + "conversations": [ + {"from": "human", "value": item["question"]}, + ], + "id": item["id"], + } + conversations.append(conversation) + if len(conversations) >= max: + break + + with open("./small.json", "w") as f: + json.dump(conversations, f, indent=4) + + +if __name__ == "__main__": + main() diff --git a/router/src/config.rs b/router/src/config.rs index 9c31e6e8..5d07a293 100644 --- a/router/src/config.rs +++ b/router/src/config.rs @@ -191,7 +191,7 @@ pub enum Config { #[serde(rename = "phi-msft")] PhiMsft, Phi3, - PhiMoe, + Phimoe, Llama, Baichuan, Paligemma(Paligemma), diff --git a/router/src/lib.rs b/router/src/lib.rs index 40076564..d6e42edb 100644 --- a/router/src/lib.rs +++ b/router/src/lib.rs @@ -647,6 +647,7 @@ enum CompletionType { } impl ChatCompletion { + #[allow(clippy::too_many_arguments)] pub(crate) fn new( model: String, system_fingerprint: String, @@ -655,6 +656,7 @@ impl ChatCompletion { details: Details, return_logprobs: bool, tool_calls: Option>, + prompt_tokens: u32, ) -> Self { let message = match (output, tool_calls) { (Some(content), None) => OutputMessage::ChatMessage(TextMessage { @@ -693,9 +695,9 @@ impl ChatCompletion { finish_reason: details.finish_reason.format(true), }], usage: Usage { - prompt_tokens: details.prefill.len() as u32, + prompt_tokens, completion_tokens: details.generated_tokens, - total_tokens: details.prefill.len() as u32 + details.generated_tokens, + total_tokens: prompt_tokens + details.generated_tokens, }, } } @@ -919,7 +921,6 @@ impl ChatRequest { messages, seed, stop, - stream, tools, tool_choice, tool_prompt, @@ -999,7 +1000,7 @@ impl ChatRequest { truncate: None, watermark: false, details: true, - decoder_input_details: !stream, + decoder_input_details: false, seed, top_n_tokens: top_logprobs, grammar, diff --git a/router/src/server.rs b/router/src/server.rs index 5a76e079..29df3d06 100644 --- a/router/src/server.rs +++ b/router/src/server.rs @@ -271,7 +271,9 @@ async fn generate( Json(req): Json, ) -> Result<(HeaderMap, Json), (StatusCode, Json)> { let span = tracing::Span::current(); - generate_internal(infer, ComputeType(compute_type), Json(req), span).await + let (headers, _, response) = + generate_internal(infer, ComputeType(compute_type), Json(req), span).await?; + Ok((headers, response)) } pub(crate) async fn generate_internal( @@ -279,7 +281,7 @@ pub(crate) async fn generate_internal( ComputeType(compute_type): ComputeType, Json(req): Json, span: tracing::Span, -) -> Result<(HeaderMap, Json), (StatusCode, Json)> { +) -> Result<(HeaderMap, u32, Json), (StatusCode, Json)> { let start_time = Instant::now(); metrics::counter!("tgi_request_count").increment(1); @@ -423,7 +425,7 @@ pub(crate) async fn generate_internal( generated_text: output_text, details, }; - Ok((headers, Json(response))) + Ok((headers, input_length, Json(response))) } /// Generate a stream of token using Server-Sent Events @@ -980,7 +982,9 @@ pub(crate) async fn completions( span_clone, ) .await; - result.map(|(headers, generation)| (index, headers, generation)) + result.map(|(headers, input_length, generation)| { + (index, headers, input_length, generation) + }) }; responses.push(response_future); } @@ -1001,7 +1005,7 @@ pub(crate) async fn completions( let choices = generate_responses .into_iter() - .map(|(index, headers, Json(generation))| { + .map(|(index, headers, input_length, Json(generation))| { let details = generation.details.ok_or(( // this should never happen but handle if details are missing unexpectedly StatusCode::INTERNAL_SERVER_ERROR, @@ -1056,9 +1060,9 @@ pub(crate) async fn completions( .and_then(|v| v.to_str().ok()?.parse().ok()) .unwrap_or(0); - prompt_tokens += details.prefill.len() as u32; + prompt_tokens += input_length; completion_tokens += details.generated_tokens; - total_tokens += details.prefill.len() as u32 + details.generated_tokens; + total_tokens += input_length + details.generated_tokens; Ok(CompletionComplete { finish_reason: details.finish_reason.format(true), @@ -1381,7 +1385,7 @@ pub(crate) async fn chat_completions( let sse = Sse::new(response_stream).keep_alive(KeepAlive::default()); Ok((headers, sse).into_response()) } else { - let (headers, Json(generation)) = + let (headers, input_length, Json(generation)) = generate_internal(Extension(infer), compute_type, Json(generate_request), span).await?; let current_time = std::time::SystemTime::now() @@ -1452,6 +1456,7 @@ pub(crate) async fn chat_completions( generation.details.unwrap(), logprobs, tool_calls, + input_length, )); // wrap generation inside a Vec to match api-inference diff --git a/router/src/vertex.rs b/router/src/vertex.rs index a532c9ec..0a8c2278 100644 --- a/router/src/vertex.rs +++ b/router/src/vertex.rs @@ -122,7 +122,7 @@ pub(crate) async fn vertex_compatibility( span_clone, ) .await - .map(|(_, Json(generation))| generation.generated_text) + .map(|(_, _, Json(generation))| generation.generated_text) .map_err(|_| { ( StatusCode::INTERNAL_SERVER_ERROR, diff --git a/server/text_generation_server/models/flash_causal_lm.py b/server/text_generation_server/models/flash_causal_lm.py index cf9ac405..8989110a 100644 --- a/server/text_generation_server/models/flash_causal_lm.py +++ b/server/text_generation_server/models/flash_causal_lm.py @@ -57,6 +57,7 @@ from text_generation_server.models.globals import ( ATTENTION, BLOCK_SIZE, CUDA_GRAPHS, + REQUEST_LOGPROBS, TGI_WIGGLE_ROOM, get_adapter_to_index, ) @@ -292,6 +293,10 @@ class FlashCausalLMBatch(Batch): for i, (r, tokenized_input) in enumerate( zip(pb.requests, batch_tokenized_inputs) ): + ### XXX: This consumes so much memory on long requests + ### Deactivating it by default seems like the best course. + if not REQUEST_LOGPROBS: + r.prefill_logprobs = False # request id -> idx in list mapping requests_idx_mapping[r.id] = i @@ -1554,12 +1559,13 @@ class FlashCausalLM(Model): ) batch_num_blocks = batch.num_blocks + num_tokens = batch.to_pb().current_tokens if SYSTEM == "rocm" and os.environ.get("PYTORCH_TUNABLEOP_ENABLED", False): torch.cuda.tunable.tuning_enable(False) _, _batch, _ = self.generate_token(batch) except torch.cuda.OutOfMemoryError as e: raise RuntimeError( - f"Not enough memory to handle {batch.to_pb().current_tokens} prefill tokens. " + f"Not enough memory to handle {num_tokens} prefill tokens. " f"You need to decrease `--max-batch-prefill-tokens`" ) from e @@ -1592,6 +1598,8 @@ class FlashCausalLM(Model): if max_input_tokens is None else max_input_tokens ) + elif max_input_tokens is None: + max_input_tokens = max_total_tokens - 1 del _batch, batch self.kv_cache = [] diff --git a/server/text_generation_server/models/globals.py b/server/text_generation_server/models/globals.py index 4ac6a6b4..8d988ad5 100644 --- a/server/text_generation_server/models/globals.py +++ b/server/text_generation_server/models/globals.py @@ -5,13 +5,14 @@ from typing import Dict, Optional from text_generation_server.utils.log import log_master +REQUEST_LOGPROBS = os.getenv("REQUEST_LOGPROBS", "0").lower() in {"1", "true"} ATTENTION = os.environ["ATTENTION"] # default_prefix_caching = "1" if ATTENTION in {"flashinfer", "flashdecoding"} else "0" PREFIX_CACHING = os.environ["PREFIX_CACHING"].lower() in { "1", "true", } -PREFILL_CHUNKING = os.getenv("PREFILL_CHUNKING", "0").lower() in {"1", "true"} +PREFILL_CHUNKING = os.getenv("PREFILL_CHUNKING", "1").lower() in {"1", "true"} log_master(logger.info, f"Using prefix caching = {PREFIX_CACHING}") _expected = {"paged", "flashdecoding", "flashinfer"} assert ( From d96dcb1797d22521e36c1ef258bc277700f0013a Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Fri, 6 Dec 2024 22:49:15 +0530 Subject: [PATCH 17/31] Adding A100 compute. (#2806) --- launcher/src/main.rs | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/launcher/src/main.rs b/launcher/src/main.rs index 9001a4d5..671ec2ee 100644 --- a/launcher/src/main.rs +++ b/launcher/src/main.rs @@ -172,7 +172,9 @@ struct RawConfig { vision_config: Option, is_encoder_decoder: Option, #[serde(rename = "num_experts_per_tok")] - experts: Option, + num_experts_per_token: Option, + #[serde(rename = "n_shared_experts")] + num_shared_experts: Option, } #[derive(Deserialize)] @@ -196,7 +198,8 @@ struct Config { model_type: Option, vision_config: Option, is_encoder_decoder: bool, - experts: Option, + num_experts_per_token: usize, + num_shared_experts: usize, } impl Config { @@ -210,11 +213,9 @@ impl Config { let num_kv_heads = self.num_kv_heads? as u64; let head_dim = self.head_dim? as u64; let hidden_size = self.hidden_size? as u64; - let intermediate_size = if let Some(experts) = self.experts { - (self.intermediate_size? * experts) as u64 - } else { - self.intermediate_size? as u64 - }; + let intermediate_size = (self.intermediate_size? + * (self.num_experts_per_token + self.num_shared_experts)) + as u64; let num_layers = self.num_layers? as u64; let q_flops = 2 * num_heads * head_dim * hidden_size; @@ -257,7 +258,8 @@ impl From for Config { let model_type = other.model_type; let vision_config = other.vision_config; let is_encoder_decoder = other.is_encoder_decoder.unwrap_or(false); - let experts = other.experts; + let num_experts_per_token = other.num_experts_per_token.unwrap_or(1); + let num_shared_experts = other.num_shared_experts.unwrap_or(0); Config { max_position_embeddings, quantize, @@ -270,7 +272,8 @@ impl From for Config { num_kv_heads, intermediate_size, num_layers, - experts, + num_experts_per_token, + num_shared_experts, } } } @@ -1547,6 +1550,7 @@ impl ComputeType { // https://www.techpowerup.com/gpu-specs/docs/nvidia-gh100-architecture.pdf "nvidia-h100-80gb-hbm3" => Some(900 * 10u64.pow(12)), // https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf + "nvidia-a100-sxm4-80gb" => Some(312 * 10u64.pow(12)), "nvidia-a100" => Some(312 * 10u64.pow(12)), card => { tracing::warn!("Unkown compute for card {card}"); From 08f6fa0b5924d9bf680b915f678a176ca0f7ae19 Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Fri, 6 Dec 2024 19:09:40 +0100 Subject: [PATCH 18/31] Removing experimental to prefill chunking. --- server/text_generation_server/models/model.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/server/text_generation_server/models/model.py b/server/text_generation_server/models/model.py index c75592c1..805fd771 100644 --- a/server/text_generation_server/models/model.py +++ b/server/text_generation_server/models/model.py @@ -86,9 +86,7 @@ class Model(ABC): ) support_chunking = False - log_master( - logger.info, f"Using experimental prefill chunking = {support_chunking}" - ) + log_master(logger.info, f"Using prefill chunking = {support_chunking}") self.support_chunking = support_chunking set_support_chunking(support_chunking) From 9f5c9a5e227e91abb6153d3b8ac82448cfc38056 Mon Sep 17 00:00:00 2001 From: drbh Date: Fri, 6 Dec 2024 14:41:49 -0500 Subject: [PATCH 19/31] Enable paligemma2 (#2807) * feat: support loading gemma2 as vlm text model * feat: add test for paligemma2 --- .../test_flash_pali_gemma_image.json | 133 ++++++++++++++++++ .../models/test_flash_pali_gemma2.py | 29 ++++ .../models/custom_modeling/vlm.py | 6 + 3 files changed, 168 insertions(+) create mode 100644 integration-tests/models/__snapshots__/test_flash_pali_gemma2/test_flash_pali_gemma_image.json create mode 100644 integration-tests/models/test_flash_pali_gemma2.py diff --git a/integration-tests/models/__snapshots__/test_flash_pali_gemma2/test_flash_pali_gemma_image.json b/integration-tests/models/__snapshots__/test_flash_pali_gemma2/test_flash_pali_gemma_image.json new file mode 100644 index 00000000..bc75bce4 --- /dev/null +++ b/integration-tests/models/__snapshots__/test_flash_pali_gemma2/test_flash_pali_gemma_image.json @@ -0,0 +1,133 @@ +{ + "details": { + "best_of_sequences": null, + "finish_reason": "length", + "generated_tokens": 20, + "prefill": [], + "seed": null, + "tokens": [ + { + "id": 108, + "logprob": -0.73046875, + "special": false, + "text": "\n" + }, + { + "id": 30234, + "logprob": -2.328125, + "special": false, + "text": "Brown" + }, + { + "id": 108, + "logprob": -0.12060547, + "special": false, + "text": "\n" + }, + { + "id": 3726, + "logprob": -1.7734375, + "special": false, + "text": "Car" + }, + { + "id": 108, + "logprob": -0.041503906, + "special": false, + "text": "\n" + }, + { + "id": 2915, + "logprob": -1.796875, + "special": false, + "text": "Color" + }, + { + "id": 108, + "logprob": -0.039794922, + "special": false, + "text": "\n" + }, + { + "id": 19178, + "logprob": -1.96875, + "special": false, + "text": "Cool" + }, + { + "id": 108, + "logprob": -0.080566406, + "special": false, + "text": "\n" + }, + { + "id": 40544, + "logprob": -2.1875, + "special": false, + "text": "Decor" + }, + { + "id": 108, + "logprob": -0.033935547, + "special": false, + "text": "\n" + }, + { + "id": 13936, + "logprob": -1.6328125, + "special": false, + "text": "Green" + }, + { + "id": 108, + "logprob": -0.16210938, + "special": false, + "text": "\n" + }, + { + "id": 955, + "logprob": -2.015625, + "special": false, + "text": "..." + }, + { + "id": 108, + "logprob": -0.14746094, + "special": false, + "text": "\n" + }, + { + "id": 955, + "logprob": -0.73828125, + "special": false, + "text": "..." + }, + { + "id": 108, + "logprob": -0.051513672, + "special": false, + "text": "\n" + }, + { + "id": 955, + "logprob": -0.34765625, + "special": false, + "text": "..." + }, + { + "id": 108, + "logprob": -0.020141602, + "special": false, + "text": "\n" + }, + { + "id": 955, + "logprob": -0.11767578, + "special": false, + "text": "..." + } + ], + "top_tokens": null + }, + "generated_text": "\nBrown\nCar\nColor\nCool\nDecor\nGreen\n...\n...\n...\n..." +} diff --git a/integration-tests/models/test_flash_pali_gemma2.py b/integration-tests/models/test_flash_pali_gemma2.py new file mode 100644 index 00000000..23705385 --- /dev/null +++ b/integration-tests/models/test_flash_pali_gemma2.py @@ -0,0 +1,29 @@ +import pytest + + +@pytest.fixture(scope="module") +def flash_pali_gemma_handle(launcher): + with launcher( + "google/paligemma2-3b-pt-224", + ) as handle: + yield handle + + +@pytest.fixture(scope="module") +async def flash_pali_gemma(flash_pali_gemma_handle): + await flash_pali_gemma_handle.health(300) + return flash_pali_gemma_handle.client + + +async def test_flash_pali_gemma_image(flash_pali_gemma, response_snapshot): + car_image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg" + response = await flash_pali_gemma.generate( + f"![]({car_image})", + max_new_tokens=20, + ) + assert ( + response.generated_text + == "\nBrown\nCar\nColor\nCool\nDecor\nGreen\n...\n...\n...\n..." + ) + + assert response == response_snapshot diff --git a/server/text_generation_server/models/custom_modeling/vlm.py b/server/text_generation_server/models/custom_modeling/vlm.py index e5c44045..82e409a6 100644 --- a/server/text_generation_server/models/custom_modeling/vlm.py +++ b/server/text_generation_server/models/custom_modeling/vlm.py @@ -17,6 +17,12 @@ def load_text_model(prefix, config, weights, name=None): ) return FlashGemmaForCausalLM(prefix, config, weights, causal=False) + elif config.model_type == "gemma2": + from text_generation_server.models.custom_modeling.flash_gemma2_modeling import ( + FlashGemma2ForCausalLM, + ) + + return FlashGemma2ForCausalLM(prefix, config, weights) elif config.model_type == "paligemma": from text_generation_server.models.custom_modeling.flash_gemma_modeling import ( FlashGemmaForCausalLM, From a04356fb8c0b87d5349319f0d87df3103118529d Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Tue, 10 Dec 2024 00:14:32 +0530 Subject: [PATCH 20/31] Attempt for cleverer auto batch_prefill values (some simplifications). (#2808) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Attempt for cleverer auto batch_prefill values (some simplifications). * Less flaky tests. * Fixing typo insertion. * Update launcher/src/main.rs Co-authored-by: Daniël de Kok * Adding small comment for source of calculation. * Adding L40. * Adding L40s. --------- Co-authored-by: Daniël de Kok --- .../models/test_flash_llama_prefix.py | 9 +- .../test_flash_llama_prefix_flashdecoding.py | 9 +- .../models/test_flash_phi35_moe.py | 1 - .../models/test_flash_qwen2_vl.py | 161 ++++++------ launcher/src/main.rs | 239 +++++++++++++++--- .../models/flash_causal_lm.py | 51 ++-- .../text_generation_server/models/globals.py | 2 +- 7 files changed, 339 insertions(+), 133 deletions(-) diff --git a/integration-tests/models/test_flash_llama_prefix.py b/integration-tests/models/test_flash_llama_prefix.py index 3e48b054..5be6a0ed 100644 --- a/integration-tests/models/test_flash_llama_prefix.py +++ b/integration-tests/models/test_flash_llama_prefix.py @@ -124,7 +124,7 @@ async def test_flash_llama_load( assert len(responses) == len(prompts) outputs = [r.choices[0].message.content for r in responses] - assert outputs == [ + expected = [ "Jeff Walker's Product Launch Formula is a comprehensive system", "Here are three key indicators to determine if a customer", "You can use the `String.format()` method in", @@ -224,4 +224,9 @@ async def test_flash_llama_load( 'The error message "connection refused" indicates that the', "To load an image, you can use various methods", ] - assert responses == generous_response_snapshot + equals = [o == e for o, e in zip(outputs, expected)] + # This is flaky because depending on actual calculation ordering the exact logits may + # switch on equivalent logits based on the position in the batch. + # 1 output being different is not uncommon + if sum(equals) < len(equals) - 1: + assert outputs == expected diff --git a/integration-tests/models/test_flash_llama_prefix_flashdecoding.py b/integration-tests/models/test_flash_llama_prefix_flashdecoding.py index 73d397bd..949de7c7 100644 --- a/integration-tests/models/test_flash_llama_prefix_flashdecoding.py +++ b/integration-tests/models/test_flash_llama_prefix_flashdecoding.py @@ -126,7 +126,7 @@ async def test_flash_llama_flashdecoding( assert len(responses) == len(prompts) outputs = [r.choices[0].message.content for r in responses] - assert outputs == [ + expected = [ "Jeff Walker's Product Launch Formula is a comprehensive system", "Here are three key indicators to determine if a customer", "You can use the `String.format()` method in", @@ -226,4 +226,9 @@ async def test_flash_llama_flashdecoding( 'The error message "connection refused" indicates that the', "To load an image, you can use various methods", ] - assert responses == generous_response_snapshot + equals = [o == e for o, e in zip(outputs, expected)] + # This is flaky because depending on actual calculation ordering the exact logits may + # switch on equivalent logits based on the position in the batch. + # 1 output being different is not uncommon + if sum(equals) < len(equals) - 1: + assert outputs == expected diff --git a/integration-tests/models/test_flash_phi35_moe.py b/integration-tests/models/test_flash_phi35_moe.py index 0cb8f85d..d3043b02 100644 --- a/integration-tests/models/test_flash_phi35_moe.py +++ b/integration-tests/models/test_flash_phi35_moe.py @@ -6,7 +6,6 @@ def flash_phi35_moe_handle(launcher): with launcher( "microsoft/Phi-3.5-MoE-instruct", num_shard=4, - max_batch_prefill_tokens=10000, ) as handle: yield handle diff --git a/integration-tests/models/test_flash_qwen2_vl.py b/integration-tests/models/test_flash_qwen2_vl.py index 946ab2f1..97a533fc 100644 --- a/integration-tests/models/test_flash_qwen2_vl.py +++ b/integration-tests/models/test_flash_qwen2_vl.py @@ -1,80 +1,81 @@ -import pytest - - -@pytest.fixture(scope="module") -def flash_qwen2_vl_handle(launcher): - with launcher("Qwen/Qwen2-VL-7B-Instruct") as handle: - yield handle - - -@pytest.fixture(scope="module") -async def flash_qwen2(flash_qwen2_vl_handle): - await flash_qwen2_vl_handle.health(300) - return flash_qwen2_vl_handle.client - - -@pytest.mark.private -async def test_flash_qwen2_vl_simple(flash_qwen2, response_snapshot): - response = await flash_qwen2.chat( - max_tokens=100, - seed=42, - messages=[ - { - "role": "user", - "content": [ - { - "type": "image_url", - "image_url": { - "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png" - }, - }, - {"type": "text", "text": "Describe this image."}, - ], - }, - ], - ) - - assert ( - response.choices[0].message.content - == "The image depicts an anthropomorphic rabbit, wearing a futuristic spacesuit, in an extraterrestrial environment. The setting appears to be a red planet resembling Mars, with rugged terrain and rocky formations in the background. The moon is visible in the distant sky, adding to the lunar landscape." - ) - - assert response == response_snapshot - - -@pytest.mark.private -async def test_flash_qwen2_vl_simple_streaming(flash_qwen2, response_snapshot): - responses = await flash_qwen2.chat( - max_tokens=100, - seed=42, - messages=[ - { - "role": "user", - "content": [ - { - "type": "image_url", - "image_url": { - "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png" - }, - }, - {"type": "text", "text": "Describe this image."}, - ], - }, - ], - stream=True, - ) - - count = 0 - generated = "" - last_response = None - async for response in responses: - count += 1 - generated += response.choices[0].delta.content - last_response = response - - assert ( - generated - == "The image depicts an anthropomorphic rabbit, wearing a futuristic spacesuit, in an extraterrestrial environment. The setting appears to be a red planet resembling Mars, with rugged terrain and rocky formations in the background. The moon is visible in the distant sky, adding to the lunar landscape." - ) - assert count == 58 - assert last_response == response_snapshot +# Disabled because it's broken. +# import pytest +# +# +# @pytest.fixture(scope="module") +# def flash_qwen2_vl_handle(launcher): +# with launcher("Qwen/Qwen2-VL-7B-Instruct") as handle: +# yield handle +# +# +# @pytest.fixture(scope="module") +# async def flash_qwen2(flash_qwen2_vl_handle): +# await flash_qwen2_vl_handle.health(300) +# return flash_qwen2_vl_handle.client +# +# +# @pytest.mark.private +# async def test_flash_qwen2_vl_simple(flash_qwen2, response_snapshot): +# response = await flash_qwen2.chat( +# max_tokens=100, +# seed=42, +# messages=[ +# { +# "role": "user", +# "content": [ +# { +# "type": "image_url", +# "image_url": { +# "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png" +# }, +# }, +# {"type": "text", "text": "Describe this image."}, +# ], +# }, +# ], +# ) +# +# assert ( +# response.choices[0].message.content +# == "The image depicts an anthropomorphic rabbit, wearing a futuristic spacesuit, in an extraterrestrial environment. The setting appears to be a red planet resembling Mars, with rugged terrain and rocky formations in the background. The moon is visible in the distant sky, adding to the lunar landscape." +# ) +# +# assert response == response_snapshot +# +# +# @pytest.mark.private +# async def test_flash_qwen2_vl_simple_streaming(flash_qwen2, response_snapshot): +# responses = await flash_qwen2.chat( +# max_tokens=100, +# seed=42, +# messages=[ +# { +# "role": "user", +# "content": [ +# { +# "type": "image_url", +# "image_url": { +# "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png" +# }, +# }, +# {"type": "text", "text": "Describe this image."}, +# ], +# }, +# ], +# stream=True, +# ) +# +# count = 0 +# generated = "" +# last_response = None +# async for response in responses: +# count += 1 +# generated += response.choices[0].delta.content +# last_response = response +# +# assert ( +# generated +# == "The image depicts an anthropomorphic rabbit, wearing a futuristic spacesuit, in an extraterrestrial environment. The setting appears to be a red planet resembling Mars, with rugged terrain and rocky formations in the background. The moon is visible in the distant sky, adding to the lunar landscape." +# ) +# assert count == 58 +# assert last_response == response_snapshot diff --git a/launcher/src/main.rs b/launcher/src/main.rs index 671ec2ee..fb6ba2b2 100644 --- a/launcher/src/main.rs +++ b/launcher/src/main.rs @@ -30,25 +30,68 @@ mod env_runtime; mod gpu; fn compute_optimal(config: Option<&Config>, compute: Option<&ComputeType>) -> Option { - if let (Some(config), Some(compute)) = (config, compute) { - if let (Some(f16_max_compute), Some(model_compute)) = (compute.f16_flop(), config.flop()) { - tracing::debug!("MAx compute {f16_max_compute} model compute {model_compute}"); - let optimal_size = (f16_max_compute / model_compute) as usize; - if optimal_size > 100 { - // Ignore calculations that's too low - // Most likely an error - Some(optimal_size) - } else { - None - } - } else { - None - } + let config = config?; + let compute = compute?; + let f16_max_compute = compute.f16_flop()?; + let model_compute = config.flop()?; + tracing::debug!( + "Max compute {} model compute {}", + human_size(f16_max_compute as usize, "flop"), + human_size(model_compute as usize, "flop") + ); + let optimal_size = (f16_max_compute / model_compute) as usize; + if optimal_size > 100 { + // Ignore calculations that's too low + // Most likely an error + Some(optimal_size) } else { None } } +fn human_size(size: usize, suffix: &str) -> String { + let mut size: f64 = size as f64; + let mut p = ""; + for prefix in ["", "K", "M", "G", "T"] { + p = prefix; + if size > 1_000.0 { + size /= 1_000.0; + } else { + break; + } + } + format!("{size:.2}{p}{suffix}") +} + +fn vram_maximum( + config: Option<&Config>, + compute: Option<&ComputeType>, + memory_fraction: f32, +) -> Option { + let config = config?; + let compute = compute?; + let available = compute.vram(memory_fraction)?; + let model = config.model_vram()?; + let token_vram = config.token_vram()?; + if let Some(vram) = available.checked_sub(model) { + let tokens_allowed = vram / token_vram; + tracing::debug!( + "Available vram {}: model needs {}, every tokens requires {}, maximum allocatable tokens {tokens_allowed}", + human_size(available, "B"), + human_size(model, "B"), + human_size(token_vram, "B"), + ); + Some(tokens_allowed) + } else { + tracing::warn!( + "Not enough VRAM to run the model: Available: {} - Model {}.", + human_size(available, "B"), + human_size(model, "B") + ); + None + } +} + fn get_config( model_id: &str, revision: &Option, @@ -175,6 +218,9 @@ struct RawConfig { num_experts_per_token: Option, #[serde(rename = "n_shared_experts")] num_shared_experts: Option, + #[serde(rename = "num_local_experts")] + num_experts: Option, + vocab_size: Option, } #[derive(Deserialize)] @@ -200,6 +246,8 @@ struct Config { is_encoder_decoder: bool, num_experts_per_token: usize, num_shared_experts: usize, + num_experts: usize, + vocab_size: Option, } impl Config { @@ -231,6 +279,49 @@ impl Config { let total = layer_flops * num_layers; Some(total) } + + fn kv_vram_per_tok(&self) -> Option { + if self.quantize.is_some() { + // TODO handle quantization + return None; + } + // 2 for key and values + // 2 for f16 dtype? + Some(self.num_kv_heads? * 2 * self.head_dim? * 2 * self.num_layers?) + } + + fn mlp_vram_per_tok(&self) -> Option { + // TODO handle quantization + // TODO This calculation depends on the actual implementation + let dtype_size = 2; + let mlp_size = self.intermediate_size?; + // calculation is overshooting here. + // Coming from here: https://github.com/vllm-project/vllm/blob/d1c2e15eb31ef12e688ce0cb71895f88eaf4cd4f/vllm/model_executor/layers/fused_moe/fused_moe.py#L618-L624 + Some((mlp_size + mlp_size / 2) * self.num_experts * dtype_size * 3) + } + + fn token_vram(&self) -> Option { + let kv = self.kv_vram_per_tok()?; + let mlp_intermediary = self.mlp_vram_per_tok()?; + let per_tok = kv + mlp_intermediary; + Some(per_tok) + } + + fn model_vram(&self) -> Option { + let attn_vram = (self.num_heads? + 2 * self.num_kv_heads?) * self.head_dim?; + let o_vram = self.num_heads? * self.head_dim? * self.hidden_size?; + // gate + up + down = 3 + let mlp_vram = 3 * self.intermediate_size? * self.num_experts * self.hidden_size?; + let layer_vram = mlp_vram + attn_vram + o_vram; + let vocab = self.hidden_size? * self.vocab_size?; + let params = layer_vram * self.num_layers? + 2 * vocab; + let dtype_size = 2; + if self.quantize.is_some() { + // TODO handle quantization + return None; + } + Some(params * dtype_size) + } } impl From for Config { @@ -260,6 +351,8 @@ impl From for Config { let is_encoder_decoder = other.is_encoder_decoder.unwrap_or(false); let num_experts_per_token = other.num_experts_per_token.unwrap_or(1); let num_shared_experts = other.num_shared_experts.unwrap_or(0); + let num_experts = other.num_experts.unwrap_or(1); + let vocab_size = other.vocab_size; Config { max_position_embeddings, quantize, @@ -274,6 +367,8 @@ impl From for Config { num_layers, num_experts_per_token, num_shared_experts, + num_experts, + vocab_size, } } } @@ -1528,37 +1623,111 @@ fn spawn_shards( Ok(()) } +#[derive(Debug)] +enum Gpu { + RTX4090, + T4, + L4, + L40, + L40S, + A10G, + H100, + A100, + Unknown(String), +} + #[derive(Debug)] struct ComputeType { count: usize, - card: String, + card: Gpu, +} + +impl From<&str> for Gpu { + fn from(value: &str) -> Self { + match value { + "nvidia-4090" => Gpu::RTX4090, + "nvidia-t4" => Gpu::T4, + "nvidia-l4" => Gpu::L4, + "nvidia-l40" => Gpu::L40, + "nvidia-l40s" => Gpu::L40S, + "nvidia-a10g" => Gpu::A10G, + "nvidia-h100-80gb-hbm3" => Gpu::H100, + "nvidia-a100-sxm4-80gb" => Gpu::A100, + "nvidia-a100" => Gpu::A100, + card => Gpu::Unknown(card.to_string()), + } + } +} + +impl std::fmt::Display for Gpu { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Gpu::RTX4090 => write!(f, "nvida-4090"), + Gpu::T4 => write!(f, "nvida-t4"), + Gpu::L4 => write!(f, "nvida-l4"), + Gpu::L40 => write!(f, "nvida-l40"), + Gpu::L40S => write!(f, "nvida-l40s"), + Gpu::A10G => write!(f, "nvidia-a10g"), + Gpu::H100 => write!(f, "nvidia-h100-80fb-hbm3"), + Gpu::A100 => write!(f, "nvida-a100-sxm4-80gb"), + Gpu::Unknown(card) => write!(f, "{}", card), + } + } } impl ComputeType { fn f16_flop(&self) -> Option { - let card_flop = match &self.card[..] { + let card_flop = match &self.card { // https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4090/ // Specs are unclear https://www.itcreations.com/nvidia-gpu/nvidia-geforce-rtx-4090-gpu - "nvidia-4090" => Some(82 * 10u64.pow(12)), + Gpu::RTX4090 => Some(82 * 10u64.pow(12)), // https://www.nvidia.com/en-us/data-center/tesla-t4/ - "nvidia-t4" => Some(65 * 10u64.pow(12)), + Gpu::T4 => Some(65 * 10u64.pow(12)), // https://www.nvidia.com/en-us/data-center/l4/ - "nvidia-l4" => Some(121 * 10u64.pow(12)), + Gpu::L4 => Some(121 * 10u64.pow(12)), + // https://www.nvidia.com/en-us/data-center/l40/ + Gpu::L40 => Some(181 * 10u64.pow(12)), + // https://www.nvidia.com/en-us/data-center/l40s/ + Gpu::L40S => Some(363 * 10u64.pow(12)), // https://www.nvidia.com/en-us/data-center/products/a10-gpu/ - "nvidia-a10g" => Some(125 * 10u64.pow(12)), + Gpu::A10G => Some(125 * 10u64.pow(12)), // https://www.nvidia.com/en-us/data-center/h100/ // https://www.techpowerup.com/gpu-specs/docs/nvidia-gh100-architecture.pdf - "nvidia-h100-80gb-hbm3" => Some(900 * 10u64.pow(12)), + Gpu::H100 => Some(900 * 10u64.pow(12)), // https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4-web.pdf - "nvidia-a100-sxm4-80gb" => Some(312 * 10u64.pow(12)), - "nvidia-a100" => Some(312 * 10u64.pow(12)), - card => { + Gpu::A100 => Some(312 * 10u64.pow(12)), + Gpu::Unknown(card) => { tracing::warn!("Unkown compute for card {card}"); None } }; card_flop.map(|f| f * self.count as u64) } + + fn vram(&self, memory_fraction: f32) -> Option { + let output = Command::new("nvidia-smi") + .args(["--query-gpu=memory.total", "--format=csv"]) + .output() + .ok()?; + let output = String::from_utf8(output.stdout).ok()?; + let fullname = output.split('\n').nth(1)?; + let mut tokens = fullname.split(' '); + let amount = tokens.next()?; + let unit = tokens.next()?; + if unit != "MiB" { + tracing::warn!("Unexpected memory unit {unit}, expected MiB"); + return None; + } + let amount: usize = amount.parse().ok()?; + let amount = amount * 2usize.pow(20); + let wiggle_room: f32 = env::var("TGI_WIGGLE_ROOM") + .ok() + .and_then(|wiggle| wiggle.parse().ok()) + .unwrap_or(0.95); + let total = amount * self.count; + let adjusted = ((total as f32) * memory_fraction * wiggle_room) as usize; + Some(adjusted) + } } impl From for OsString { @@ -1567,7 +1736,7 @@ impl From for OsString { } } -fn compute_type(num_shard: usize) -> Option { +fn compute_type(count: usize) -> Option { let output = Command::new("nvidia-smi") .args(["--query-gpu=gpu_name", "--format=csv"]) .output() @@ -1575,10 +1744,8 @@ fn compute_type(num_shard: usize) -> Option { let output = String::from_utf8(output.stdout).ok()?; let fullname = output.split('\n').nth(1)?; let cardname = fullname.replace(' ', "-").to_lowercase(); - Some(ComputeType { - count: num_shard, - card: cardname, - }) + let card = (&*cardname).into(); + Some(ComputeType { count, card }) } fn spawn_webserver( @@ -1864,16 +2031,28 @@ fn main() -> Result<(), LauncherError> { match args.max_batch_prefill_tokens { Some(max_batch_prefill_tokens) => max_batch_prefill_tokens, None => { - // TODO figure out hardware optimal value let compute_type = compute_type(num_shard); let compute_optimal = compute_optimal(config.as_ref(), compute_type.as_ref()); let default = compute_optimal.unwrap_or(4096); + let vram_maximum = vram_maximum( + config.as_ref(), + compute_type.as_ref(), + args.cuda_memory_fraction, + ); let max_position_embeddings = config.and_then(|c| c.max_position_embeddings); let value = if let Some(max_position_embeddings) = max_position_embeddings { default.min(max_position_embeddings) } else { default }; + let value = if let Some(vram_maximum) = vram_maximum { + if vram_maximum < value { + tracing::warn!("Reducing the max batch prefill from {default} to {vram_maximum} because there is not enough VRAM to support it."); + } + value.min(vram_maximum) + } else { + value + }; tracing::info!("Default `max_batch_prefill_tokens` to {value}"); value as u32 } diff --git a/server/text_generation_server/models/flash_causal_lm.py b/server/text_generation_server/models/flash_causal_lm.py index 8989110a..07b7604d 100644 --- a/server/text_generation_server/models/flash_causal_lm.py +++ b/server/text_generation_server/models/flash_causal_lm.py @@ -1557,11 +1557,22 @@ class FlashCausalLM(Model): self.kv_cache_dtype, self.device, ) + batch_num_blocks = batch.num_blocks num_tokens = batch.to_pb().current_tokens if SYSTEM == "rocm" and os.environ.get("PYTORCH_TUNABLEOP_ENABLED", False): torch.cuda.tunable.tuning_enable(False) + synchronize(self.device) + free_memory = get_free_memory( + self.device, MEMORY_FRACTION * TGI_WIGGLE_ROOM + ) + real_free_memory = get_free_memory(self.device, MEMORY_FRACTION) + log_master( + logger.debug, + f"Free memory {free_memory/1e9:.2f}GB , (real: {real_free_memory/1e9:.2f}GB", + ) + _, _batch, _ = self.generate_token(batch) except torch.cuda.OutOfMemoryError as e: raise RuntimeError( @@ -1570,12 +1581,11 @@ class FlashCausalLM(Model): ) from e synchronize(self.device) - - free_memory = get_free_memory(self.device, MEMORY_FRACTION) - + free_memory = get_free_memory(self.device, MEMORY_FRACTION * TGI_WIGGLE_ROOM) + kv_memory = free_memory num_blocks = ( # Leave 5% for some wiggle room - int((free_memory * TGI_WIGGLE_ROOM) // total_cache_size) + int(kv_memory // total_cache_size) # Add batch.num_blocks as we allocated it above, so it is included in the peak memory. + batch_num_blocks ) @@ -1584,21 +1594,11 @@ class FlashCausalLM(Model): if max_total_tokens is None: if get_support_chunking(): model_max_length = self.tokenizer.model_max_length - max_input_tokens = ( - min((num_blocks * BLOCK_SIZE - 1), model_max_length) - if max_input_tokens is None - else max_input_tokens - ) - max_total_tokens = num_blocks * BLOCK_SIZE - + max_total_tokens = min(num_blocks * BLOCK_SIZE, model_max_length) else: max_total_tokens = sum(batch.cache_lengths) - max_input_tokens = ( - max_total_tokens - 1 - if max_input_tokens is None - else max_input_tokens - ) - elif max_input_tokens is None: + + if max_input_tokens is None: max_input_tokens = max_total_tokens - 1 del _batch, batch @@ -1676,8 +1676,25 @@ class FlashCausalLM(Model): ) # Warmup cuda graphs for bs in CUDA_GRAPHS: + synchronize(self.device) + free_memory = get_free_memory( + self.device, MEMORY_FRACTION * TGI_WIGGLE_ROOM + ) + log_master( + logger.debug, + f"Free RAM before cuda graph {bs} {free_memory / 1e9:.2f}GB", + ) if self.speculate is None or self.speculate + 1 <= bs: self.cuda_graph_warmup(bs, max_total_tokens, max_total_tokens) + empty_cache() + synchronize(self.device) + free_memory = get_free_memory( + self.device, MEMORY_FRACTION * TGI_WIGGLE_ROOM + ) + log_master( + logger.debug, + f"Free RAM after cuda graphs {free_memory / 1e9:.2f}GB", + ) except torch.cuda.OutOfMemoryError: logger.exception("Decode cuda graph warmup failed") else: diff --git a/server/text_generation_server/models/globals.py b/server/text_generation_server/models/globals.py index 8d988ad5..ce879141 100644 --- a/server/text_generation_server/models/globals.py +++ b/server/text_generation_server/models/globals.py @@ -24,7 +24,7 @@ if PREFIX_CACHING and ATTENTION not in {"flashinfer", "flashdecoding"}: raise RuntimeError("Prefix caching is only supported with flashinfer") MEM_POOL = torch.cuda.graph_pool_handle() if torch.cuda.is_available() else None -TGI_WIGGLE_ROOM = float(os.getenv("TGI_WIGGLE_ROOM", "0.90")) +TGI_WIGGLE_ROOM = float(os.getenv("TGI_WIGGLE_ROOM", "0.95")) 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zUX#TtC@IT)tio0k?g@;>xl2`i^;v3;2SosY+W%Vo=KuUA@RPZ36Xc1gm4agL z#(O-kob!I?sQA$V4*KnGV2Ty@a+UJH&%a61{&rxRr+ZZG@>UAOMpMC0@^%8J$^@2fPwZH1Rux!>c1|) zpD)30pZxXPxO5=e`yp`G?H_N-zkcY?2TVc90hUrN!-e`E5B)FC|6hK*AqPV1t7+Je zfB8TE`A`MaB!<}=+j?;2;@Jx{CM(?74(_ox8v*IUfG*H zaI2hw7hfO!&p!W;_S(OHIRAJMw@74R Date: Tue, 10 Dec 2024 01:12:42 +0530 Subject: [PATCH 22/31] Prep new version (#2810) * New version. * Link fixup. * Update docs. * FIxup. --- Cargo.lock | 14 +++++++------- Cargo.toml | 2 +- README.md | 6 +++--- docs/openapi.json | 2 +- docs/source/basic_tutorials/gated_model_access.md | 2 +- docs/source/conceptual/chunking.md | 2 +- docs/source/conceptual/quantization.md | 6 +++--- docs/source/installation_amd.md | 2 +- docs/source/installation_intel.md | 4 ++-- docs/source/installation_nvidia.md | 2 +- docs/source/quicktour.md | 4 ++-- docs/source/reference/api_reference.md | 2 +- 12 files changed, 24 insertions(+), 24 deletions(-) diff --git a/Cargo.lock b/Cargo.lock index 72f70fdc..9551ae2d 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -4367,7 +4367,7 @@ dependencies = [ [[package]] name = "text-generation-backends-trtllm" -version = "2.4.2-dev0" +version = "3.0.1-dev0" dependencies = [ "async-stream", "async-trait", @@ -4391,7 +4391,7 @@ dependencies = [ [[package]] name = "text-generation-benchmark" -version = "2.4.2-dev0" +version = "3.0.1-dev0" dependencies = [ "average", "clap 4.5.21", @@ -4411,7 +4411,7 @@ dependencies = [ [[package]] name = "text-generation-client" -version = "2.4.2-dev0" +version = "3.0.1-dev0" dependencies = [ "async-trait", "base64 0.22.1", @@ -4429,7 +4429,7 @@ dependencies = [ [[package]] name = "text-generation-launcher" -version = "2.4.2-dev0" +version = "3.0.1-dev0" dependencies = [ "clap 4.5.21", "ctrlc", @@ -4450,7 +4450,7 @@ dependencies = [ [[package]] name = "text-generation-router" -version = "2.4.2-dev0" +version = "3.0.1-dev0" dependencies = [ "anyhow", "async-stream", @@ -4501,7 +4501,7 @@ dependencies = [ [[package]] name = "text-generation-router-v2" -version = "2.4.2-dev0" +version = "3.0.1-dev0" dependencies = [ "async-stream", "async-trait", @@ -4550,7 +4550,7 @@ dependencies = [ [[package]] name = "text-generation-router-v3" -version = "2.4.2-dev0" +version = "3.0.1-dev0" dependencies = [ "async-stream", "async-trait", diff --git a/Cargo.toml b/Cargo.toml index 0a12b314..806c94a0 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -20,7 +20,7 @@ default-members = [ resolver = "2" [workspace.package] -version = "2.4.2-dev0" +version = "3.0.1-dev0" edition = "2021" authors = ["Olivier Dehaene"] homepage = "https://github.com/huggingface/text-generation-inference" diff --git a/README.md b/README.md index 85137c1c..631a97a2 100644 --- a/README.md +++ b/README.md @@ -84,7 +84,7 @@ model=HuggingFaceH4/zephyr-7b-beta volume=$PWD/data docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:2.4.1 --model-id $model +3.0.0 ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model ``` And then you can make requests like @@ -121,7 +121,7 @@ curl localhost:8080/v1/chat/completions \ **Note:** To use NVIDIA GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). We also recommend using NVIDIA drivers with CUDA version 12.2 or higher. For running the Docker container on a machine with no GPUs or CUDA support, it is enough to remove the `--gpus all` flag and add `--disable-custom-kernels`, please note CPU is not the intended platform for this project, so performance might be subpar. -**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.4.1-rocm --model-id $model` instead of the command above. +**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0-rocm --model-id $model` instead of the command above. To see all options to serve your models (in the [code](https://github.com/huggingface/text-generation-inference/blob/main/launcher/src/main.rs) or in the cli): ``` @@ -151,7 +151,7 @@ model=meta-llama/Meta-Llama-3.1-8B-Instruct volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run token= -docker run --gpus all --shm-size 1g -e HF_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.4.1 --model-id $model +docker run --gpus all --shm-size 1g -e HF_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model ``` ### A note on Shared Memory (shm) diff --git a/docs/openapi.json b/docs/openapi.json index f552ee08..1caf6752 100644 --- a/docs/openapi.json +++ b/docs/openapi.json @@ -10,7 +10,7 @@ "name": "Apache 2.0", "url": "https://www.apache.org/licenses/LICENSE-2.0" }, - "version": "2.4.2-dev0" + "version": "3.0.1-dev0" }, "paths": { "/": { diff --git a/docs/source/basic_tutorials/gated_model_access.md b/docs/source/basic_tutorials/gated_model_access.md index bb35db9d..60b347b1 100644 --- a/docs/source/basic_tutorials/gated_model_access.md +++ b/docs/source/basic_tutorials/gated_model_access.md @@ -19,6 +19,6 @@ docker run --gpus all \ --shm-size 1g \ -e HF_TOKEN=$token \ -p 8080:80 \ - -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.4.1 \ + -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 \ --model-id $model ``` diff --git a/docs/source/conceptual/chunking.md b/docs/source/conceptual/chunking.md index 110d60ab..f6489afd 100644 --- a/docs/source/conceptual/chunking.md +++ b/docs/source/conceptual/chunking.md @@ -72,7 +72,7 @@ Long: `MODEL_ID=$MODEL_ID HOST=localhost:8000 k6 run load_tests/long.js` ### Results -![benchmarks_v3](https://github.com/huggingface/text-generation-inference/blob/main/assets/benchmarks_v3.png) +![benchmarks_v3](https://github.com/huggingface/text-generation-inference/blob/main/assets/v3_benchmarks.png) Our benchmarking results show significant performance gains, with a 13x speedup over vLLM with prefix caching, and up to 30x speedup without prefix caching. These results are consistent with our production data and demonstrate the effectiveness of our optimized LLM architecture. diff --git a/docs/source/conceptual/quantization.md b/docs/source/conceptual/quantization.md index 6edfa3e7..953e3683 100644 --- a/docs/source/conceptual/quantization.md +++ b/docs/source/conceptual/quantization.md @@ -19,7 +19,7 @@ bitsandbytes is a library used to apply 8-bit and 4-bit quantization to models. In TGI, you can use 8-bit quantization by adding `--quantize bitsandbytes` like below 👇 ```bash -docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.4.1 --model-id $model --quantize bitsandbytes +docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model --quantize bitsandbytes ``` 4-bit quantization is also possible with bitsandbytes. You can choose one of the following 4-bit data types: 4-bit float (`fp4`), or 4-bit `NormalFloat` (`nf4`). These data types were introduced in the context of parameter-efficient fine-tuning, but you can apply them for inference by automatically converting the model weights on load. @@ -27,7 +27,7 @@ docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingf In TGI, you can use 4-bit quantization by adding `--quantize bitsandbytes-nf4` or `--quantize bitsandbytes-fp4` like below 👇 ```bash -docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.4.1 --model-id $model --quantize bitsandbytes-nf4 +docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model --quantize bitsandbytes-nf4 ``` You can get more information about 8-bit quantization by reading this [blog post](https://huggingface.co/blog/hf-bitsandbytes-integration), and 4-bit quantization by reading [this blog post](https://huggingface.co/blog/4bit-transformers-bitsandbytes). @@ -48,7 +48,7 @@ $$({\hat{W}_{l}}^{*} = argmin_{\hat{W_{l}}} ||W_{l}X-\hat{W}_{l}X||^{2}_{2})$$ TGI allows you to both run an already GPTQ quantized model (see available models [here](https://huggingface.co/models?search=gptq)) or quantize a model of your choice using quantization script. You can run a quantized model by simply passing --quantize like below 👇 ```bash -docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.4.1 --model-id $model --quantize gptq +docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model --quantize gptq ``` Note that TGI's GPTQ implementation doesn't use [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) under the hood. However, models quantized using AutoGPTQ or Optimum can still be served by TGI. diff --git a/docs/source/installation_amd.md b/docs/source/installation_amd.md index e55c7827..3c9c0eec 100644 --- a/docs/source/installation_amd.md +++ b/docs/source/installation_amd.md @@ -11,7 +11,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading docker run --rm -it --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \ --device=/dev/kfd --device=/dev/dri --group-add video \ --ipc=host --shm-size 256g --net host -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:2.4.1-rocm \ + ghcr.io/huggingface/text-generation-inference:3.0.0-rocm \ --model-id $model ``` diff --git a/docs/source/installation_intel.md b/docs/source/installation_intel.md index 649f8e33..a5578e76 100644 --- a/docs/source/installation_intel.md +++ b/docs/source/installation_intel.md @@ -12,7 +12,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading docker run --rm --privileged --cap-add=sys_nice \ --device=/dev/dri \ --ipc=host --shm-size 1g --net host -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:2.4.1-intel-xpu \ + ghcr.io/huggingface/text-generation-inference:3.0.0-intel-xpu \ --model-id $model --cuda-graphs 0 ``` @@ -29,7 +29,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading docker run --rm --privileged --cap-add=sys_nice \ --device=/dev/dri \ --ipc=host --shm-size 1g --net host -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:2.4.1-intel-cpu \ + ghcr.io/huggingface/text-generation-inference:3.0.0-intel-cpu \ --model-id $model --cuda-graphs 0 ``` diff --git a/docs/source/installation_nvidia.md b/docs/source/installation_nvidia.md index 9b8df087..d954481e 100644 --- a/docs/source/installation_nvidia.md +++ b/docs/source/installation_nvidia.md @@ -11,7 +11,7 @@ model=teknium/OpenHermes-2.5-Mistral-7B volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run docker run --gpus all --shm-size 64g -p 8080:80 -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:2.4.1 \ + ghcr.io/huggingface/text-generation-inference:3.0.0 \ --model-id $model ``` diff --git a/docs/source/quicktour.md b/docs/source/quicktour.md index 2c6d950c..d1f3efa4 100644 --- a/docs/source/quicktour.md +++ b/docs/source/quicktour.md @@ -11,7 +11,7 @@ model=teknium/OpenHermes-2.5-Mistral-7B volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:2.4.1 \ + ghcr.io/huggingface/text-generation-inference:3.0.0 \ --model-id $model ``` @@ -96,7 +96,7 @@ curl 127.0.0.1:8080/generate \ To see all possible deploy flags and options, you can use the `--help` flag. It's possible to configure the number of shards, quantization, generation parameters, and more. ```bash -docker run ghcr.io/huggingface/text-generation-inference:2.4.1 --help +docker run ghcr.io/huggingface/text-generation-inference:3.0.0 --help ``` diff --git a/docs/source/reference/api_reference.md b/docs/source/reference/api_reference.md index 345328f8..42a77703 100644 --- a/docs/source/reference/api_reference.md +++ b/docs/source/reference/api_reference.md @@ -163,7 +163,7 @@ hub = { # create Hugging Face Model Class huggingface_model = HuggingFaceModel( - image_uri=get_huggingface_llm_image_uri("huggingface",version="2.4.1"), + image_uri=get_huggingface_llm_image_uri("huggingface",version="3.0.0"), env=hub, role=role, ) From a70dd2998b3403da3d1ce9f3d5a27bd42db2d5c7 Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Tue, 10 Dec 2024 01:20:07 +0530 Subject: [PATCH 23/31] Hotfixing the link. (#2811) --- docs/source/conceptual/chunking.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/conceptual/chunking.md b/docs/source/conceptual/chunking.md index f6489afd..9c4cbcdd 100644 --- a/docs/source/conceptual/chunking.md +++ b/docs/source/conceptual/chunking.md @@ -72,7 +72,7 @@ Long: `MODEL_ID=$MODEL_ID HOST=localhost:8000 k6 run load_tests/long.js` ### Results -![benchmarks_v3](https://github.com/huggingface/text-generation-inference/blob/main/assets/v3_benchmarks.png) +![benchmarks_v3](https://github.com/huggingface/text-generation-inference/blob/042791fbd5742b1644d42c493db6bec669df6537/assets/v3_benchmarks.png) Our benchmarking results show significant performance gains, with a 13x speedup over vLLM with prefix caching, and up to 30x speedup without prefix caching. These results are consistent with our production data and demonstrate the effectiveness of our optimized LLM architecture. From b2fac5d9477d99ee5ee6518f8138f341730d237b Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Tue, 10 Dec 2024 01:27:18 +0530 Subject: [PATCH 24/31] Hotfix link2 (#2812) 2nd hotfix ? --- docs/source/conceptual/chunking.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/conceptual/chunking.md b/docs/source/conceptual/chunking.md index 9c4cbcdd..5b76fac7 100644 --- a/docs/source/conceptual/chunking.md +++ b/docs/source/conceptual/chunking.md @@ -72,7 +72,7 @@ Long: `MODEL_ID=$MODEL_ID HOST=localhost:8000 k6 run load_tests/long.js` ### Results -![benchmarks_v3](https://github.com/huggingface/text-generation-inference/blob/042791fbd5742b1644d42c493db6bec669df6537/assets/v3_benchmarks.png) +![benchmarks_v3](https://raw.githubusercontent.com/huggingface/text-generation-inference/refs/heads/main/assets/v3_benchmarks.png) Our benchmarking results show significant performance gains, with a 13x speedup over vLLM with prefix caching, and up to 30x speedup without prefix caching. These results are consistent with our production data and demonstrate the effectiveness of our optimized LLM architecture. 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zUX#TtC@IT)tio0k?g@;>xl2`i^;v3;2SosY+W%Vo=KuUA@RPZ36Xc1gm4agL z#(O-kob!I?sQA$V4*KnGV2Ty@a+UJH&%a61{&rxRr+ZZG@>UAOMpMC0@^%8J$^@2fPwZH1Rux!>c1|) zpD)30pZxXPxO5=e`yp`G?H_N-zkcY?2TVc90hUrN!-e`E5B)FC|6hK*AqPV1t7+Je zfB8TE`A`MaB!<}=+j?;2;@Jx{CM(?74(_ox8v*IUfG*H zaI2hw7hfO!&p!W;_S(OHIRAJMw@74R Date: Wed, 11 Dec 2024 00:07:09 +0530 Subject: [PATCH 26/31] Using both value from config as they might not be correct. (#2817) * Using both value from config as they might not be correct. * Fixing max_position_embeddings for falcon. * Simple attempt to fix the healthcheck block allocation. * Much simpler solution. * Default value for Backend start_health --- backends/v2/src/backend.rs | 4 ++++ backends/v3/src/backend.rs | 4 ++++ backends/v3/src/client/sharded_client.rs | 6 +++--- router/src/infer/mod.rs | 9 ++++++++- .../models/custom_modeling/flash_rw_modeling.py | 1 + server/text_generation_server/models/flash_causal_lm.py | 6 +++++- 6 files changed, 25 insertions(+), 5 deletions(-) diff --git a/backends/v2/src/backend.rs b/backends/v2/src/backend.rs index bc264138..cfe87f98 100644 --- a/backends/v2/src/backend.rs +++ b/backends/v2/src/backend.rs @@ -104,6 +104,10 @@ impl Backend for BackendV2 { } .is_ok() } + + fn start_health(&self) -> bool { + true + } } /// Batching logic diff --git a/backends/v3/src/backend.rs b/backends/v3/src/backend.rs index 7ae794a0..736301b3 100644 --- a/backends/v3/src/backend.rs +++ b/backends/v3/src/backend.rs @@ -111,6 +111,10 @@ impl Backend for BackendV3 { } .is_ok() } + + fn start_health(&self) -> bool { + true + } } /// Batching logic diff --git a/backends/v3/src/client/sharded_client.rs b/backends/v3/src/client/sharded_client.rs index 6d4e207b..4701c560 100644 --- a/backends/v3/src/client/sharded_client.rs +++ b/backends/v3/src/client/sharded_client.rs @@ -217,8 +217,8 @@ impl Health for ShardedClient { input_chunks: Some(Input { chunks: vec![Chunk::Text("liveness".into()).into()], }), - truncate: 10, - add_special_tokens: true, + truncate: 1, + add_special_tokens: false, prefill_logprobs: false, parameters: Some(NextTokenChooserParameters { temperature: 1.0, @@ -241,7 +241,7 @@ impl Health for ShardedClient { top_n_tokens: 0, // Block 0 is reserved for health checks blocks: vec![0], - slots: (0..16).collect(), + slots: vec![0], cache_len: 0, adapter_id: None, chunk_len: None, diff --git a/router/src/infer/mod.rs b/router/src/infer/mod.rs index 86606643..6497d857 100644 --- a/router/src/infer/mod.rs +++ b/router/src/infer/mod.rs @@ -33,6 +33,13 @@ pub trait Backend { ) -> Result>, InferError>; async fn health(&self, current_health: bool) -> bool; + + /// The state of the health on startup + /// Typically false, or true if the backend includes + /// a warmup phase. + fn start_health(&self) -> bool { + false + } } /// Inference struct @@ -75,7 +82,7 @@ impl Infer { let semaphore = Arc::new(Semaphore::new(max_concurrent_requests)); // Backend health - let backend_health = Arc::new(AtomicBool::new(false)); + let backend_health = Arc::new(AtomicBool::new(backend.start_health())); Self { validation, diff --git a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py index 2dcd1bf3..fbf1a597 100644 --- a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py +++ b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py @@ -78,6 +78,7 @@ class RWConfig(PretrainedConfig): self.alibi = False self.rotary = True self.rope_theta = rope_theta + self.max_position_embeddings = 2048 self.vocab_size = vocab_size # Backward compatibility with n_embed kwarg diff --git a/server/text_generation_server/models/flash_causal_lm.py b/server/text_generation_server/models/flash_causal_lm.py index 07b7604d..5d376990 100644 --- a/server/text_generation_server/models/flash_causal_lm.py +++ b/server/text_generation_server/models/flash_causal_lm.py @@ -1304,6 +1304,7 @@ class FlashCausalLM(Model): self.num_layers = config.num_hidden_layers self.num_heads = config.num_attention_heads // self.process_group.size() + self.config = config # Validation is done in the model itself if num_kv_heads is None: num_kv_heads = getattr(config, "num_key_value_heads", None) @@ -1594,7 +1595,10 @@ class FlashCausalLM(Model): if max_total_tokens is None: if get_support_chunking(): model_max_length = self.tokenizer.model_max_length - max_total_tokens = min(num_blocks * BLOCK_SIZE, model_max_length) + max_position_embeddings = self.config.max_position_embeddings + max_total_tokens = min( + num_blocks * BLOCK_SIZE, model_max_length, max_position_embeddings + ) else: max_total_tokens = sum(batch.cache_lengths) From cc66dccbe8faba2f2c19ca575bdb9958b68145e8 Mon Sep 17 00:00:00 2001 From: RodriMora Date: Wed, 11 Dec 2024 19:45:49 +0100 Subject: [PATCH 27/31] Update README.md (#2827) Added instructions to clone the repo and change directory into it. In following steps there is a "make install" step that would fail if people have not cloned the repo and cd into it, so it may be confusing for some Added python venv alternative to conda too. --- README.md | 16 ++++++++++++++-- 1 file changed, 14 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 631a97a2..6beb8281 100644 --- a/README.md +++ b/README.md @@ -196,14 +196,26 @@ Detailed blogpost by Adyen on TGI inner workings: [LLM inference at scale with T You can also opt to install `text-generation-inference` locally. -First [install Rust](https://rustup.rs/) and create a Python virtual environment with at least -Python 3.9, e.g. using `conda`: +First clone the repository and change directoy into it: + +```shell +git clone https://github.com/huggingface/text-generation-inference +cd text-generation-inference +``` + +Then [install Rust](https://rustup.rs/) and create a Python virtual environment with at least +Python 3.9, e.g. using `conda` or `python venv`: ```shell curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh +#using conda conda create -n text-generation-inference python=3.11 conda activate text-generation-inference + +#using pyton venv +python3 -m venv .venv +source .venv/bin/activate ``` You may also need to install Protoc. From 07b01293c53d8596940b1fb90c858f330de5a400 Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Thu, 12 Dec 2024 01:33:50 +0530 Subject: [PATCH 28/31] Prepare patch release. (#2829) --- Cargo.toml | 2 +- docs/source/basic_tutorials/gated_model_access.md | 2 +- docs/source/conceptual/quantization.md | 6 +++--- docs/source/installation_amd.md | 2 +- docs/source/installation_intel.md | 4 ++-- docs/source/installation_nvidia.md | 2 +- docs/source/quicktour.md | 4 ++-- docs/source/reference/api_reference.md | 2 +- 8 files changed, 12 insertions(+), 12 deletions(-) diff --git a/Cargo.toml b/Cargo.toml index 806c94a0..d8155153 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -20,7 +20,7 @@ default-members = [ resolver = "2" [workspace.package] -version = "3.0.1-dev0" +version = "3.0.2-dev0" edition = "2021" authors = ["Olivier Dehaene"] homepage = "https://github.com/huggingface/text-generation-inference" diff --git a/docs/source/basic_tutorials/gated_model_access.md b/docs/source/basic_tutorials/gated_model_access.md index 60b347b1..7c32f0b3 100644 --- a/docs/source/basic_tutorials/gated_model_access.md +++ b/docs/source/basic_tutorials/gated_model_access.md @@ -19,6 +19,6 @@ docker run --gpus all \ --shm-size 1g \ -e HF_TOKEN=$token \ -p 8080:80 \ - -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 \ + -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.1 \ --model-id $model ``` diff --git a/docs/source/conceptual/quantization.md b/docs/source/conceptual/quantization.md index 953e3683..f7cc8929 100644 --- a/docs/source/conceptual/quantization.md +++ b/docs/source/conceptual/quantization.md @@ -19,7 +19,7 @@ bitsandbytes is a library used to apply 8-bit and 4-bit quantization to models. In TGI, you can use 8-bit quantization by adding `--quantize bitsandbytes` like below 👇 ```bash -docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model --quantize bitsandbytes +docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.1 --model-id $model --quantize bitsandbytes ``` 4-bit quantization is also possible with bitsandbytes. You can choose one of the following 4-bit data types: 4-bit float (`fp4`), or 4-bit `NormalFloat` (`nf4`). These data types were introduced in the context of parameter-efficient fine-tuning, but you can apply them for inference by automatically converting the model weights on load. @@ -27,7 +27,7 @@ docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingf In TGI, you can use 4-bit quantization by adding `--quantize bitsandbytes-nf4` or `--quantize bitsandbytes-fp4` like below 👇 ```bash -docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model --quantize bitsandbytes-nf4 +docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.1 --model-id $model --quantize bitsandbytes-nf4 ``` You can get more information about 8-bit quantization by reading this [blog post](https://huggingface.co/blog/hf-bitsandbytes-integration), and 4-bit quantization by reading [this blog post](https://huggingface.co/blog/4bit-transformers-bitsandbytes). @@ -48,7 +48,7 @@ $$({\hat{W}_{l}}^{*} = argmin_{\hat{W_{l}}} ||W_{l}X-\hat{W}_{l}X||^{2}_{2})$$ TGI allows you to both run an already GPTQ quantized model (see available models [here](https://huggingface.co/models?search=gptq)) or quantize a model of your choice using quantization script. You can run a quantized model by simply passing --quantize like below 👇 ```bash -docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0 --model-id $model --quantize gptq +docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.1 --model-id $model --quantize gptq ``` Note that TGI's GPTQ implementation doesn't use [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) under the hood. However, models quantized using AutoGPTQ or Optimum can still be served by TGI. diff --git a/docs/source/installation_amd.md b/docs/source/installation_amd.md index 3c9c0eec..033add75 100644 --- a/docs/source/installation_amd.md +++ b/docs/source/installation_amd.md @@ -11,7 +11,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading docker run --rm -it --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \ --device=/dev/kfd --device=/dev/dri --group-add video \ --ipc=host --shm-size 256g --net host -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:3.0.0-rocm \ + ghcr.io/huggingface/text-generation-inference:3.0.1-rocm \ --model-id $model ``` diff --git a/docs/source/installation_intel.md b/docs/source/installation_intel.md index a5578e76..3329b476 100644 --- a/docs/source/installation_intel.md +++ b/docs/source/installation_intel.md @@ -12,7 +12,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading docker run --rm --privileged --cap-add=sys_nice \ --device=/dev/dri \ --ipc=host --shm-size 1g --net host -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:3.0.0-intel-xpu \ + ghcr.io/huggingface/text-generation-inference:3.0.1-intel-xpu \ --model-id $model --cuda-graphs 0 ``` @@ -29,7 +29,7 @@ volume=$PWD/data # share a volume with the Docker container to avoid downloading docker run --rm --privileged --cap-add=sys_nice \ --device=/dev/dri \ --ipc=host --shm-size 1g --net host -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:3.0.0-intel-cpu \ + ghcr.io/huggingface/text-generation-inference:3.0.1-intel-cpu \ --model-id $model --cuda-graphs 0 ``` diff --git a/docs/source/installation_nvidia.md b/docs/source/installation_nvidia.md index d954481e..71f3febd 100644 --- a/docs/source/installation_nvidia.md +++ b/docs/source/installation_nvidia.md @@ -11,7 +11,7 @@ model=teknium/OpenHermes-2.5-Mistral-7B volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run docker run --gpus all --shm-size 64g -p 8080:80 -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:3.0.0 \ + ghcr.io/huggingface/text-generation-inference:3.0.1 \ --model-id $model ``` diff --git a/docs/source/quicktour.md b/docs/source/quicktour.md index d1f3efa4..fc24a7a4 100644 --- a/docs/source/quicktour.md +++ b/docs/source/quicktour.md @@ -11,7 +11,7 @@ model=teknium/OpenHermes-2.5-Mistral-7B volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \ - ghcr.io/huggingface/text-generation-inference:3.0.0 \ + ghcr.io/huggingface/text-generation-inference:3.0.1 \ --model-id $model ``` @@ -96,7 +96,7 @@ curl 127.0.0.1:8080/generate \ To see all possible deploy flags and options, you can use the `--help` flag. It's possible to configure the number of shards, quantization, generation parameters, and more. ```bash -docker run ghcr.io/huggingface/text-generation-inference:3.0.0 --help +docker run ghcr.io/huggingface/text-generation-inference:3.0.1 --help ``` diff --git a/docs/source/reference/api_reference.md b/docs/source/reference/api_reference.md index 42a77703..6b333fdc 100644 --- a/docs/source/reference/api_reference.md +++ b/docs/source/reference/api_reference.md @@ -163,7 +163,7 @@ hub = { # create Hugging Face Model Class huggingface_model = HuggingFaceModel( - image_uri=get_huggingface_llm_image_uri("huggingface",version="3.0.0"), + image_uri=get_huggingface_llm_image_uri("huggingface",version="3.0.1"), env=hub, role=role, ) From f01f2fb6e7acc9836f4c80fb942bfb09f8a3041b Mon Sep 17 00:00:00 2001 From: Guspan Tanadi <36249910+guspan-tanadi@users.noreply.github.com> Date: Thu, 12 Dec 2024 19:49:33 +0700 Subject: [PATCH 29/31] docs(README): supported hardware links TGI AMD GPUs (#2814) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6beb8281..6d3a9b12 100644 --- a/README.md +++ b/README.md @@ -121,7 +121,7 @@ curl localhost:8080/v1/chat/completions \ **Note:** To use NVIDIA GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). We also recommend using NVIDIA drivers with CUDA version 12.2 or higher. For running the Docker container on a machine with no GPUs or CUDA support, it is enough to remove the `--gpus all` flag and add `--disable-custom-kernels`, please note CPU is not the intended platform for this project, so performance might be subpar. -**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0-rocm --model-id $model` instead of the command above. +**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/installation_amd#using-tgi-with-amd-gpus). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:3.0.0-rocm --model-id $model` instead of the command above. To see all options to serve your models (in the [code](https://github.com/huggingface/text-generation-inference/blob/main/launcher/src/main.rs) or in the cli): ``` From c3bd7212c2e2dbcb1e176a39052283bb382000b1 Mon Sep 17 00:00:00 2001 From: Nicolas Patry Date: Thu, 12 Dec 2024 14:09:35 +0100 Subject: [PATCH 30/31] Fixing latest flavor by disabling it. (#2831) --- .github/workflows/build.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml index 3e94f730..6d867ebb 100644 --- a/.github/workflows/build.yaml +++ b/.github/workflows/build.yaml @@ -137,7 +137,7 @@ jobs: uses: docker/metadata-action@v4.3.0 with: flavor: | - latest=auto + latest=false images: | registry.internal.huggingface.tech/api-inference/community/text-generation-inference ghcr.io/huggingface/text-generation-inference From bf59118a93d5e7e50a5a00181067ece0481ca0de Mon Sep 17 00:00:00 2001 From: "Wang, Yi" Date: Thu, 12 Dec 2024 21:41:30 +0800 Subject: [PATCH 31/31] fix facebook/opt-125m not working issue (#2824) Signed-off-by: Wang, Yi A --- .../models/custom_modeling/opt_modeling.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/server/text_generation_server/models/custom_modeling/opt_modeling.py b/server/text_generation_server/models/custom_modeling/opt_modeling.py index bd440321..a6348b5b 100644 --- a/server/text_generation_server/models/custom_modeling/opt_modeling.py +++ b/server/text_generation_server/models/custom_modeling/opt_modeling.py @@ -99,7 +99,7 @@ class OPTLearnedPositionalEmbedding(nn.Module): self.offset = 2 self.weight = nn.Parameter( weights.get_tensor( - f"{prefix + '.' if prefix else ''}decoder.embed_positions.weight" + f"{prefix if prefix else ''}decoder.embed_positions.weight" ) ) @@ -317,7 +317,7 @@ class OPTDecoderLayer(nn.Module): super().__init__() self.process_group = weights.process_group self.hidden_size = config.hidden_size - prefix = f"{prefix + '.' if prefix else ''}decoder.layers.{layer_id}" + prefix = f"{prefix if prefix else ''}decoder.layers.{layer_id}" self.self_attn = OPTAttention( config, prefix=f"{prefix}.self_attn", @@ -755,6 +755,8 @@ class OPTModel(OPTPreTrainedModel): class OPTForCausalLM(OPTPreTrainedModel): def __init__(self, prefix, config, weights): super().__init__(config) + if not prefix and any(s.startswith("model") for s in weights.routing.keys()): + prefix = "model" self.model = OPTModel(prefix, config, weights)