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40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import Optional
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from llama_models.datatypes import ModelFamily
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from llama_models.schema_utils import json_schema_type
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from llama_models.sku_list import all_registered_models
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from pydantic import BaseModel, validator
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from llama_toolchain.inference.api import QuantizationConfig
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@json_schema_type
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class MetaReferenceImplConfig(BaseModel):
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model: str
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quantization: Optional[QuantizationConfig] = None
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torch_seed: Optional[int] = None
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max_seq_len: int
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max_batch_size: int = 1
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@validator("model")
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@classmethod
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def validate_model(cls, model: str) -> str:
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permitted_models = [
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m.descriptor()
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for m in all_registered_models()
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if m.model_family == ModelFamily.llama3_1
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]
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if model not in permitted_models:
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model_list = "\n\t".join(permitted_models)
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raise ValueError(
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f"Unknown model: `{model}`. Choose from [\n\t{model_list}\n]"
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)
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return model
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