forked from phoenix-oss/llama-stack-mirror
72 lines
1.9 KiB
Python
72 lines
1.9 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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# 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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# top-level folder for each specific model found within the models/ directory at
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# the top-level of this source tree.
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import importlib
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from pathlib import Path
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import fire
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from llama_stack.models.llama.sku_list import resolve_model
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from llama_stack.providers.inline.inference.meta_reference.config import MetaReferenceInferenceConfig
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from llama_stack.providers.inline.inference.meta_reference.generation import Llama
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THIS_DIR = Path(__file__).parent.resolve()
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def run_main(
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model_id: str,
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checkpoint_dir: str,
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module_name: str,
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output_path: str,
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):
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module = importlib.import_module(module_name)
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assert hasattr(module, "usecases"), f"Module {module_name} missing usecases function"
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config = MetaReferenceInferenceConfig(
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model=model_id,
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max_seq_len=512,
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max_batch_size=1,
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checkpoint_dir=checkpoint_dir,
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)
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llama_model = resolve_model(model_id)
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if not llama_model:
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raise ValueError(f"Model {model_id} not found")
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generator = Llama.build(
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config=config,
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model_id=model_id,
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llama_model=llama_model,
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)
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use_cases = module.usecases()
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text = ""
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for u in use_cases:
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if isinstance(u, str):
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use_case_text = f"\n{u}\n"
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else:
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use_case_text = u.to_text(generator)
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text += use_case_text
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print(use_case_text)
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text += "Thank You!\n"
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with open(output_path, "w") as f:
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f.write(text)
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def main():
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fire.Fire(run_main)
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if __name__ == "__main__":
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main()
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