[Model] Allow loading from original Mistral format (#8168)
Co-authored-by: Michael Goin <michael@neuralmagic.com>
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@@ -17,6 +17,7 @@ import torch
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from huggingface_hub import HfApi, hf_hub_download
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from torch import nn
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from transformers import AutoModelForCausalLM, PretrainedConfig
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from transformers.utils import SAFE_WEIGHTS_INDEX_NAME
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from vllm.config import (CacheConfig, DeviceConfig, LoadConfig, LoadFormat,
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LoRAConfig, ModelConfig, MultiModalConfig,
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@@ -241,12 +242,17 @@ class DefaultModelLoader(BaseModelLoader):
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is_local = os.path.isdir(model_name_or_path)
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load_format = self.load_config.load_format
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use_safetensors = False
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index_file = SAFE_WEIGHTS_INDEX_NAME
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# Some quantized models use .pt files for storing the weights.
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if load_format == LoadFormat.AUTO:
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allow_patterns = ["*.safetensors", "*.bin"]
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elif load_format == LoadFormat.SAFETENSORS:
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use_safetensors = True
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allow_patterns = ["*.safetensors"]
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elif load_format == LoadFormat.MISTRAL:
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use_safetensors = True
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allow_patterns = ["consolidated*.safetensors"]
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index_file = "consolidated.safetensors.index.json"
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elif load_format == LoadFormat.PT:
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allow_patterns = ["*.pt"]
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elif load_format == LoadFormat.NPCACHE:
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@@ -284,10 +290,10 @@ class DefaultModelLoader(BaseModelLoader):
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# any files not found in the index.
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if not is_local:
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download_safetensors_index_file_from_hf(
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model_name_or_path, self.load_config.download_dir,
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revision)
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model_name_or_path, index_file,
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self.load_config.download_dir, revision)
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hf_weights_files = filter_duplicate_safetensors_files(
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hf_weights_files, hf_folder)
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hf_weights_files, hf_folder, index_file)
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else:
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hf_weights_files = filter_files_not_needed_for_inference(
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hf_weights_files)
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