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update snapshot_download
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commit
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@ -16,11 +16,13 @@ from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type,
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import mlx.core as mx
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import mlx.nn as nn
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if os.getenv('MLX_USE_MODELSCOPE', 'False').lower() == 'true':
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print(">> Using ModelScope")
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use_modelscope = os.getenv('MLX_USE_MODELSCOPE', 'False').lower() == 'true'
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if use_modelscope:
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from modelscope import snapshot_download
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else:
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from huggingface_hub import snapshot_download
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from mlx.utils import tree_flatten, tree_reduce
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from transformers import PreTrainedTokenizer
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@ -158,26 +160,39 @@ def get_model_path(path_or_hf_repo: str, revision: Optional[str] = None) -> Path
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Path: The path to the model.
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"""
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model_path = Path(path_or_hf_repo)
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print(f'>>model_path: {model_path}')
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revision = revision or 'master'
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print(f'>>revision: {revision}')
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if not model_path.exists():
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try:
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model_path = Path(
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snapshot_download(
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repo_id=path_or_hf_repo,
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revision=revision,
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allow_patterns=[
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"*.json",
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"*.safetensors",
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"*.py",
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"tokenizer.model",
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"*.tiktoken",
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"*.txt",
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],
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if use_modelscope:
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model_path = Path(
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snapshot_download(
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model_id=path_or_hf_repo,
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revision=revision or 'master',
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allow_patterns=[
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"*.json",
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"*.safetensors",
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"*.py",
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"tokenizer.model",
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"*.tiktoken",
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"*.txt",
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],
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)
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)
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else:
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model_path = Path(
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snapshot_download(
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repo_id=path_or_hf_repo,
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revision=revision,
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allow_patterns=[
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"*.json",
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"*.safetensors",
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"*.py",
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"tokenizer.model",
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"*.tiktoken",
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"*.txt",
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],
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)
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)
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)
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except:
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raise ModelNotFoundError(
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f"Model not found for path or HF repo: {path_or_hf_repo}.\n"
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