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Fix gemma + medusa.

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This commit is contained in:
Nicolas Patry 2024-02-23 21:13:34 +00:00
parent a0095b5b8d
commit ed95f1982d
1 changed files with 0 additions and 30 deletions
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30
server/text_generation_server/models/flash_gemma.py
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@ -60,36 +60,6 @@ class FlashGemma(FlashCausalLM):
weights._set_gptq_params(model_id, revision)
model = FlashGemmaForCausalLM(config, weights)
if use_medusa:
from text_generation_server.utils.medusa import MedusaModel
from huggingface_hub import hf_hub_download
import json
import os
from pathlib import Path
is_local_model = (
Path(use_medusa).exists() and Path(use_medusa).is_dir()
) or os.getenv("WEIGHTS_CACHE_OVERRIDE", None) is not None
if not is_local_model:
medusa_config = hf_hub_download(
use_medusa, revision=revision, filename="config.json"
)
medusa_head = hf_hub_download(
use_medusa, revision=revision, filename="medusa_lm_head.pt"
)
else:
medusa_config = str(Path(use_medusa) / "config.json")
medusa_head = str(Path(use_medusa) / "medusa_lm_head.pt")
with open(medusa_config, "r") as f:
config = json.load(f)
medusa_sf = medusa_head[: -len(".pt")] + ".safetensors"
weights = Weights(
[medusa_sf], device, dtype, process_group=self.process_group
)
lm_head = model.lm_head
model.lm_head = MedusaModel(config, weights, lm_head)
torch.distributed.barrier(group=self.process_group)
super(FlashGemma, self).__init__(