mirror of
https://github.com/meta-llama/llama-stack.git
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67 lines
1.7 KiB
Python
67 lines
1.7 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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import asyncio
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import fire
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import httpx
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from termcolor import cprint
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from .evals import * # noqa: F403
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class EvaluationClient(Evals):
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def __init__(self, base_url: str):
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self.base_url = base_url
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async def initialize(self) -> None:
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pass
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async def shutdown(self) -> None:
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pass
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async def run_evals(self, model: str, dataset: str, task: str) -> EvaluateResponse:
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async with httpx.AsyncClient() as client:
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response = await client.post(
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f"{self.base_url}/evals/run",
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json={
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"model": model,
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"dataset": dataset,
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"task": task,
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},
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headers={"Content-Type": "application/json"},
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timeout=3600,
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)
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response.raise_for_status()
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return EvaluateResponse(**response.json())
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async def run_main(host: str, port: int):
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client = EvaluationClient(f"http://{host}:{port}")
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# CustomDataset
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response = await client.run_evals(
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"Llama3.1-8B-Instruct",
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"mmlu-simple-eval-en",
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"mmlu",
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)
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cprint(f"evaluate response={response}", "green")
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# Eleuther Eval
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# response = await client.run_evals(
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# "Llama3.1-8B-Instruct",
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# "PLACEHOLDER_DATASET_NAME",
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# "mmlu",
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# )
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# cprint(response.metrics["metrics_table"], "red")
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def main(host: str, port: int):
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asyncio.run(run_main(host, port))
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if __name__ == "__main__":
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fire.Fire(main)
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