Commit Graph

34 Commits

Author SHA1 Message Date
David Corvoysier
5eec3a8bb6
Avoid running neuron integration tests twice (#3054)
* test(neuron): refactor to prepare batch export

* test(neuron): add helper to batch export models

Also rename fixture file fro clarity.

* ci(neuron): do not run tests twice

* ci(neuron): rename precompilation job

* test(neuron): remove redundant subdirectory

* test(neuron): remove erroneous line

* doc(neuron): update links to installation page

* feat(neuron): cleanup Dockerfile

CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse is not required anymore.

* test(neuron): try to reduce download errors
2025-02-26 12:15:01 +01:00
David Corvoysier
c00add9c03
Add Neuron backend (#3033)
* feat: add neuron backend

* feat(neuron): add server standalone installation

* feat(neuron): add server and integration tests

* fix(neuron): increase ulimit when building image

The base image used to compile the rust components seems to have a low
ulimit for opened files, which leads to errors during compilation.

* test(neuron): merge integration tests and fixtures

* test: add --neuron option

* review: do not use latest tag

* review: remove ureq pinned version

* review: --privileged should be the exception

* feat: add neuron case to build ci

* fix(neuron): export models from container in test fixtures

The neuron tests require models to have been previously exported and
cached on the hub. This is done automatically by the neuron.model
fixture the first time the tests are ran for a specific version.
This fixture used to export the models using optimum-neuron directly,
but this package is not necessarily present on the system.
Instead, it is now done through the neuron TGI itself, since it
contains all the tools required to export the models.
Note that since the CI runs docker in docker (dind) it does not seem
possible to share a volume between the CI container and the container
used to export the model.
For that reason, a specific image with a modified entrypoint is built
on-the-fly when a model export is required.

* refactor: remove sagemaker entry-point

The SageMaker image is built differently anyway.

* fix(neuron): avoid using Levenshtein

* test(neuron): use smaller llama model

* feat(neuron): avoid installing CUDA in image

* test(neuron): no error anymore when requesting too many tokens

* ci: doing a precompilation step (with a different token).

* test(neuron): avoid using image sha when exporting models

We now manually evaluate the apparent hash of the neuron backend by
combining the hash of the neuron backend directory and Dockerfile.
This new hash is used to identify exported neuron models instead of the
image sha.
This has two benefits:
- it changes less frequently (only hwen the neuron backend changes),
  which means less neuron models being pushed to the hub,
- it can be evaluated locally, meaning that running the tests once
  locally will export the models before the CI uses them.

* test(neuron): added a small script to prune test models

---------

Co-authored-by: drbh <david.richard.holtz@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2025-02-24 09:10:05 +01:00
Adrien Gallouët
cfd4fbb479
[Backend] Add Llamacpp backend (#2975)
* Add llamacpp backend

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Get rid of llama_batch_get_one()

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Use max_batch_total_tokens

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Handle max_batch_size

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add some input validation checks

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Handle ctx args & fix sampling

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add GPU args

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add --defrag-threshold

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add a stupid batch mechanism

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Cleanup

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add --numa

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix args

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Enable flash attention by default

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add --offload-kqv

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix batch_pos

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* backend(llama): add CUDA Dockerfile_llamacpp for now

* Only export the latest logits

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Output real logprobs

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix batching

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix seq iterations

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Auto-detect n_threads when not provided

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Clear request cache after completion

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Remove warmup

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Cleanup

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* backend(llama): add CUDA architectures build argument for Dockerfile

* Add specific args for batch

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add --type-v & --type-k

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Bump llamacpp to b4623

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Disable graceful shutdown in debug mode

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Update Dockerfile_llamacpp

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Cleanup Dockerfile

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Update Cargo.lock

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Update args

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Simplify batching logic

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Set TGI_LLAMA_PKG_CUDA from CUDA_VERSION

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Rename bindings

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Remove n_ctx

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Make max_batch_total_tokens optional

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Ensure all samplers are freed on error

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Initialize penalty_last_n with llamacpp default value

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Cleanup

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Improve default settings

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add doc

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Update docs

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Thanks clippy

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Thanks cargo fmt

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Update docs

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Do not use HOSTNAME env

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Bump llama.cpp & cuda

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix requirements.txt

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix fmt

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Enable KQV offload by default

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Remove Ngrok tunneling

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Remove .cargo/config.toml

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix Dockerfile

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add missing cuda prefix

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Handle custom llama.cpp dir

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Cleanup

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add README.md

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Add HF transfer

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Fix bool args

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Update doc

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

* Update doc

Signed-off-by: Adrien Gallouët <angt@huggingface.co>

---------

Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
2025-02-14 13:40:57 +01:00
Baptiste Colle
1470aec9d9
Fix typo in TPU docs (#2911)
docs(tpu): fix typo
2025-01-15 18:32:07 +01:00
Baptiste Colle
46994b34fb
📝 add guide on using TPU with TGI in the docs (#2907) 2025-01-15 16:26:11 +01:00
Funtowicz Morgan
ea7f4082c4
TensorRT-LLM backend bump to latest version + misc fixes (#2791)
* misc(cmake) update dependencies

* feat(hardware) enable new hardware.hpp and unittests

* test(ctest) enable address sanitizer

* feat(backend): initial rewrite of the backend for simplicity

* feat(backend): remove all the logs from hardware.hpp

* feat(backend): added some logging

* feat(backend): enable compiler warning if support for RVO not applying

* feat(backend): missing return statement

* feat(backend): introduce backend_workspace_t to store precomputed information from the engine folder

* feat(backend): delete previous backend impl

* feat(backend): more impl

* feat(backend): use latest trtllm main version to have g++ >= 13 compatibility

* feat(backend): allow overriding which Python to use

* feat(backend): fix backend_exception_t -> backend_error_t naming

* feat(backend): impl missing generation_step_t as return value of pull_tokens

* feat(backend): make backend_workspace_t::engines_folder constexpr

* feat(backend): fix main.rs retrieving the tokenizer

* feat(backend): add guard to multiple header definitions

* test(backend): add more unittest

* feat(backend): remove constexpr from par

* feat(backend): remove constexpig

* test(backend): more test coverage

* chore(trtllm): update dependency towards 0.15.0

* effectively cancel the request on the executor

* feat(backend) fix moving backend when pulling

* feat(backend): make sure we can easily cancel request on the executor

* feat(backend): fix missing "0" field access

* misc(backend): fix reborrowing Pin<&mut T> as described in the doc https://doc.rust-lang.org/stable/std/pin/struct.Pin.html#method.as_mut

* chore: Add doc and CI for TRTLLM (#2799)

* chore: Add doc and CI for TRTLLM

* chore: Add doc and CI for TRTLLM

* chore: Add doc and CI for TRTLLM

* chore: Add doc and CI for TRTLLM

* doc: Formatting

* misc(backend): indent

---------

Co-authored-by: Hugo Larcher <hugo.larcher@huggingface.co>
2024-12-13 15:50:59 +01:00
Nicolas Patry
27fa83ca5b
V3 doc (#2809)
* V3 document.

* Updating asset.
2024-12-09 19:58:07 +01:00
Omar Sanseviero
ce28ee88d5
Small fixes for supported models (#2471)
* Small improvements for docs

* Update _toctree.yml

* Updating the doc (we keep the list actually).

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-10-14 15:26:39 +02:00
Martin Iglesias Goyanes
aaea212d0f
Add links to Adyen blogpost (#2500)
* Add links to Adyen blogpost

* Adding to toctree.

* Update external.md

* Update _toctree.yml

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-09-06 17:00:54 +02:00
Hugo Larcher
53729b74ac
doc: Add metrics documentation and add a 'Reference' section (#2230)
* doc: Add metrics documentation and add a 'Reference' section

* doc: Add API reference

* doc: Refactor API reference

* fix: Message API link

* Bad rebase

* Moving the docs.

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-08-16 19:43:30 +02:00
Erik Kaunismäki
40f5dc3ed6
add usage stats to toctree (#2260)
quick fix
2024-07-19 16:34:04 +02:00
Wang, Yi
07e240ca37
add doc for intel gpus (#2181)
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2024-07-08 15:57:06 +02:00
drbh
04e1af94d7
Enable multiple LoRa adapters (#2010)
* feat: first draft load multiple lora

* feat: load weights within layer and refactor lora pass

* fix: refactor and reduce lora math

* feat: baseline impl single request multi lora support

* feat: prefer lorax implementation and port loading logic

* fix: prefer adapter_data and refactors

* feat: perfer loraxs custom punica kernels and add mlp loras

* fix: adjust batch for bgmv

* fix: adjust adapter_segments logic when in batch

* fix: refactor and move changes to v3 proto

* fix: pass model_id for all flash causal lms

* fix: pass model_id for all causal and seq2seq lms

* fix: add model_id to model test

* feat: add lora support to mistral and refactors

* feat: prefer model id in request

* fix: include rust code for adapter id

* feat: bump launcher and add new lora docs

* feat: support base model generation and refactors

* fix: rename doc to retry ci build

* feat: support if vlm models

* fix: add adapter_data param and avoid missing layers

* fix: add adapter_data param to phi and neox

* fix: update all models forwards to include adapter_data

* fix: add model_id to IdeficsCausalLM

* Update lora.md

Fixed a typo

* Update lora.md

Fixing spam image

* fix: add lora kernel to dockerfile, support running without kernels and refactors

* fix: avoid dockerfile conflict

* fix: refactors and adjust flash llama lora logic

* fix: skip llama test due to CI issue (temp)

* fix: skip llama test CI (temp) 2

* fix: revert skips and prefer updated ci token for tests

* fix: refactors and helpful comments

* fix: add noop in TensorParallelAdapterRowLinear too

* fix: refactor and move shard_lora_weights logic

* fix: exit early if no adapter_data

---------

Co-authored-by: Derek <datavistics@gmail.com>
2024-06-25 14:46:27 -04:00
Alvaro Moran
445f313504
Adding architecture document (#2044)
* doc: adding architecture document

* doc: add architecture to toctree

* fix: avoid cargo lock changes

* fix: avoid cargo lock tweak

---------

Co-authored-by: drbh <david.richard.holtz@gmail.com>
2024-06-14 09:28:34 -04:00
drbh
a103e3e9e2
feat: add train medusa head tutorial (#1934)
This PR adds a tutorial to self distill and train medusa heads for a
specific model

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-23 11:34:18 +02:00
fxmarty
c4cf8b49d1
Add TGI monitoring guide through Grafana and Prometheus (#1908)
As per title. It is very useful.
2024-05-17 10:34:44 -04:00
fxmarty
232e8d5227
MI300 compatibility (#1764)
Adds support for AMD Instinct MI300 in TGI.

Most changes are:
* Support PyTorch TunableOp to pick the GEMM/GEMV kernels for decoding
https://github.com/pytorch/pytorch/tree/main/aten/src/ATen/cuda/tunable.
TunableOp is disabled by default, and can be enabled with
`PYTORCH_TUNABLEOP_ENABLED=1`.
* Update ROCm dockerfile to PyTorch 2.3 (actually patched with changes
from https://github.com/pytorch/pytorch/pull/124362)
* Support SILU & Linear custom kernels contributed by AMD
* Update vLLM paged attention to https://github.com/fxmarty/rocm-vllm/,
branching out of a much more recent commit
3489ce7936
* Support FA2 Triton kernel as recommended by AMD. Can be used by
specifying `ROCM_USE_FLASH_ATTN_V2_TRITON=1`.
* Update dockerfile to ROCm 6.1

By default, TunableOp tuning results are saved in `/data` (e.g.
`/data/tunableop_meta-llama-Llama-2-70b-chat-hf_tp1_rank0.csv`) in order
to avoid to have to rerun the tuning at each `docker run`.

Example:
```
Validator,PT_VERSION,2.3.0
Validator,ROCM_VERSION,6.1.0.0-82-5fabb4c
Validator,HIPBLASLT_VERSION,0.7.0-1549b021
Validator,GCN_ARCH_NAME,gfx942:sramecc+:xnack-
Validator,ROCBLAS_VERSION,4.1.0-cefa4a9b-dirty
GemmTunableOp_Half_TN,tn_8192_7_28672,Gemm_Rocblas_45475,0.132098
GemmTunableOp_Half_TN,tn_10240_4_8192,Gemm_Rocblas_45546,0.0484431
GemmTunableOp_Half_TN,tn_32000_6_8192,Default,0.149546
GemmTunableOp_Half_TN,tn_32000_3_8192,Gemm_Rocblas_45520,0.147119
GemmTunableOp_Half_TN,tn_8192_3_28672,Gemm_Rocblas_45475,0.132645
GemmTunableOp_Half_TN,tn_10240_3_8192,Gemm_Rocblas_45546,0.0482971
GemmTunableOp_Half_TN,tn_57344_5_8192,Gemm_Rocblas_45520,0.255694
GemmTunableOp_Half_TN,tn_10240_7_8192,Gemm_Rocblas_45517,0.0482522
GemmTunableOp_Half_TN,tn_8192_3_8192,Gemm_Rocblas_45546,0.0444671
GemmTunableOp_Half_TN,tn_8192_5_8192,Gemm_Rocblas_45546,0.0445834
GemmTunableOp_Half_TN,tn_57344_7_8192,Gemm_Rocblas_45520,0.25622
GemmTunableOp_Half_TN,tn_8192_2_28672,Gemm_Rocblas_45475,0.132122
GemmTunableOp_Half_TN,tn_8192_4_8192,Gemm_Rocblas_45517,0.0453191
GemmTunableOp_Half_TN,tn_10240_5_8192,Gemm_Rocblas_45517,0.0482514
GemmTunableOp_Half_TN,tn_8192_5_28672,Gemm_Rocblas_45542,0.133914
GemmTunableOp_Half_TN,tn_8192_2_8192,Gemm_Rocblas_45517,0.0446516
GemmTunableOp_Half_TN,tn_8192_1_28672,Gemm_Hipblaslt_TN_10814,0.131953
GemmTunableOp_Half_TN,tn_10240_2_8192,Gemm_Rocblas_45546,0.0481043
GemmTunableOp_Half_TN,tn_32000_4_8192,Gemm_Rocblas_45520,0.147497
GemmTunableOp_Half_TN,tn_8192_6_28672,Gemm_Rocblas_45529,0.134895
GemmTunableOp_Half_TN,tn_57344_2_8192,Gemm_Rocblas_45520,0.254716
GemmTunableOp_Half_TN,tn_57344_4_8192,Gemm_Rocblas_45520,0.255731
GemmTunableOp_Half_TN,tn_10240_6_8192,Gemm_Rocblas_45517,0.0484816
GemmTunableOp_Half_TN,tn_57344_3_8192,Gemm_Rocblas_45520,0.254701
GemmTunableOp_Half_TN,tn_8192_4_28672,Gemm_Rocblas_45475,0.132159
GemmTunableOp_Half_TN,tn_32000_2_8192,Default,0.147524
GemmTunableOp_Half_TN,tn_32000_5_8192,Default,0.147074
GemmTunableOp_Half_TN,tn_8192_6_8192,Gemm_Rocblas_45546,0.0454045
GemmTunableOp_Half_TN,tn_57344_6_8192,Gemm_Rocblas_45520,0.255582
GemmTunableOp_Half_TN,tn_32000_7_8192,Default,0.146705
GemmTunableOp_Half_TN,tn_8192_7_8192,Gemm_Rocblas_45546,0.0445489
```

---------

Co-authored-by: Mohit Sharma <mohit21sharma.ms@gmail.com>
2024-05-17 15:30:47 +02:00
drbh
6073ece4fc
fix: split docs and start conceptual page (#1836)
This PR improves the guidance docs and adds a section that explains how
grammars are applied on a technical level
2024-05-01 09:03:25 +02:00
drbh
b2c982750a
feat: add vlm docs and simple examples (#1812)
This PR start to add documentation for visual language models
2024-04-30 12:14:39 +02:00
Nicolas Patry
c7e570e59d
Pickle conversion now requires --trust-remote-code. (#1704)
# What does this PR do?

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2024-04-05 13:32:53 +02:00
OlivierDehaene
e6bb3ff81f
v1.4.3 (#1609) 2024-02-28 16:12:14 +01:00
Nicolas Patry
910d0a9062
Fixing x-compute-time. (#1606)
# What does this PR do?

It was meant to be in seconds float
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Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
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      Pull Request section?
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      to it if that's the case.
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and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.

<!-- Your PR will be replied to more quickly if you can figure out the
right person to tag with @


@OlivierDehaene OR @Narsil

 -->
2024-02-28 11:30:37 +01:00
drbh
9b6db5f793
Support tools (#1587)
This work in progress PR begins to add support for tools. Tools relies
on grammar support and still has some unsolved challenges. Opening the
PR for visibility and feedback
2024-02-28 11:10:27 +01:00
drbh
7872b8c55b
Add messages api compatibility docs (#1478)
This PR adds a new page to the docs that describes the Messages API and
how to use it.

Additionally this page will contain cloud provider specific information
for enabling and using this feature. This PR includes a SageMaker
example/information.
2024-01-24 11:41:28 -05:00
Merve Noyan
259a230028
Automatic docs for TGI (#1045)
I had to open this PR since I initially worked from my fork, and it
requires a handful of work to trigger a new github action on my fork's
specific branch (couldn't find a way, at least, despite trying all of
them).

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-09-27 16:01:38 +02:00
Merve Noyan
c8a01d7591
Unsupported model serving docs (#906)
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2023-09-12 15:55:14 +02:00
Merve Noyan
e9ae678699
Quantization docs (#911)
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2023-09-12 15:52:46 +02:00
Merve Noyan
1f69fb9ed4
Tensor Parallelism conceptual guide (#886)
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2023-09-12 12:11:20 +02:00
Merve Noyan
30a93a0dec
Paged Attention Conceptual Guide (#901) 2023-09-08 14:18:42 +02:00
Merve Noyan
af1ed38f39
Safetensors conceptual guide (#905)
IDK what else to add in this guide, I looked for relevant code in TGI
codebase and saw that it's used in quantization as well (maybe I could
add that?)
2023-09-07 16:22:06 +02:00
Merve Noyan
f260eb72f9
docs: Flash Attention Conceptual Guide (#892)
PR for conceptual guide on flash attention. I will add more info unless
I'm told otherwise.

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
2023-09-06 15:36:49 +02:00
Omar Sanseviero
bfa070611d
Add streaming guide (#858)
Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: Merve Noyan <merveenoyan@gmail.com>
2023-08-18 13:27:08 +02:00
Merve Noyan
e58ad6dd66
Added CLI docs (#799)
Added docs for CLI
2023-08-10 15:00:30 +02:00
Merve Noyan
647ae7a7d3
Setup for doc-builder and docs for TGI (#740)
I added ToC for docs v1 & started setting up for doc-builder. cc @Narsil
@osanseviero

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: osanseviero <osanseviero@gmail.com>
Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2023-08-10 10:24:52 +02:00