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66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
from ._deepseek import register_deepseek_models as _register_deepseek_models
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from ._gemma import register_gemma_models as _register_gemma_models
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from ._llama import register_llama_models as _register_llama_models
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from ._mistral import register_mistral_models as _register_mistral_models
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from ._phi import register_phi_models as _register_phi_models
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from ._qwen import register_qwen_models as _register_qwen_models
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from .registry import MODEL_REGISTRY, ModelInfo, QuantType
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_ARE_MODELS_REGISTERED = False
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def register_models():
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global _ARE_MODELS_REGISTERED
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if _ARE_MODELS_REGISTERED:
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return
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_register_deepseek_models()
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_register_gemma_models()
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_register_llama_models()
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_register_mistral_models()
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_register_phi_models()
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_register_qwen_models()
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_ARE_MODELS_REGISTERED = True
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def search_models(
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org: str = None,
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base_name: str = None,
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version: str = None,
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size: str = None,
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quant_types: list[QuantType] = None,
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search_pattern: str = None,
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) -> list[ModelInfo]:
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"""
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Get model info from the registry. See registry.ModelInfo for more fields.
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search_pattern is matched against the full model path (the HF hub model_id).
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"""
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if not _ARE_MODELS_REGISTERED:
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register_models()
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model_infos = MODEL_REGISTRY.values()
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if org:
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model_infos = [model_info for model_info in model_infos if model_info.org == org]
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if base_name:
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model_infos = [
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model_info for model_info in model_infos if model_info.base_name == base_name
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]
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if version:
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model_infos = [model_info for model_info in model_infos if model_info.version == version]
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if size:
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model_infos = [model_info for model_info in model_infos if model_info.size == size]
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if quant_types:
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model_infos = [
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model_info
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for model_info in model_infos
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if any(model_info.quant_type == quant_type for quant_type in quant_types)
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]
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if search_pattern:
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model_infos = [
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model_info for model_info in model_infos if search_pattern in model_info.model_path
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]
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return model_infos
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