Fix local load for Medusa (#1420)
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@ -198,6 +198,35 @@ def download_weights(
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if not extension == ".safetensors" or not auto_convert:
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raise e
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elif (Path(model_id) / "medusa_lm_head.pt").exists():
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# Try to load as a local Medusa model
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try:
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import json
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medusa_head = Path(model_id) / "medusa_lm_head.pt"
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if auto_convert:
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medusa_sf = Path(model_id) / "medusa_lm_head.safetensors"
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if not medusa_sf.exists():
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utils.convert_files([Path(medusa_head)], [medusa_sf], [])
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medusa_config = Path(model_id) / "config.json"
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with open(medusa_config, "r") as f:
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config = json.load(f)
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model_id = config["base_model_name_or_path"]
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revision = "main"
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try:
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utils.weight_files(model_id, revision, extension)
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logger.info(
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f"Files for parent {model_id} are already present on the host. "
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"Skipping download."
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)
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return
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# Local files not found
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except (utils.LocalEntryNotFoundError, utils.EntryNotFoundError):
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pass
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except (utils.LocalEntryNotFoundError, utils.EntryNotFoundError):
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pass
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elif (Path(model_id) / "adapter_config.json").exists():
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# Try to load as a local PEFT model
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try:
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@ -71,15 +71,26 @@ class FlashLlama(FlashCausalLM):
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from text_generation_server.utils.medusa import MedusaModel
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from huggingface_hub import hf_hub_download
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import json
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medusa_config = hf_hub_download(
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use_medusa, revision=revision, filename="config.json"
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)
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import os
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from pathlib import Path
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is_local_model = (Path(use_medusa).exists() and Path(use_medusa).is_dir()) or os.getenv(
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"WEIGHTS_CACHE_OVERRIDE", None
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) is not None
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if not is_local_model:
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medusa_config = hf_hub_download(
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use_medusa, revision=revision, filename="config.json"
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)
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medusa_head = hf_hub_download(
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use_medusa, revision=revision, filename="medusa_lm_head.pt"
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)
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else:
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medusa_config = str(Path(use_medusa) / "config.json")
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medusa_head = str(Path(use_medusa) / "medusa_lm_head.pt")
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with open(medusa_config, "r") as f:
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config = json.load(f)
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medusa_head = hf_hub_download(
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use_medusa, revision=revision, filename="medusa_lm_head.pt"
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)
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medusa_sf = medusa_head[: -len(".pt")] + ".safetensors"
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weights = Weights(
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[medusa_sf], device, dtype, process_group=self.process_group
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