45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
import os
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from configs.model_config import ONLINE_LLM_MODEL
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from configs.server_config import FSCHAT_MODEL_WORKERS
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from configs.model_config import llm_model_dict, LLM_DEVICE
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from loguru import logger
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def get_model_worker_config(
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model_name: str = None,
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fastchat_mdoel_workers: dict = FSCHAT_MODEL_WORKERS,
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online_llm_model: dict = ONLINE_LLM_MODEL,
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llm_model_dict: dict = llm_model_dict,
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llm_device: str = LLM_DEVICE
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) -> dict:
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'''
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加载model worker的配置项。
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优先级:FSCHAT_MODEL_WORKERS[model_name] > ONLINE_LLM_MODEL[model_name] > FSCHAT_MODEL_WORKERS["default"]
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'''
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import model_workers
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config = fastchat_mdoel_workers.get("default", {}).copy()
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config.update(online_llm_model.get(model_name, {}).copy())
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config.update(fastchat_mdoel_workers.get(model_name, {}).copy())
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if model_name in online_llm_model:
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config["online_api"] = True
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if provider := config.get("provider"):
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try:
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config["worker_class"] = getattr(model_workers, provider)
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except Exception as e:
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msg = f"在线模型 ‘{model_name}’ 的provider没有正确配置"
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logger.error(f'{e.__class__.__name__}: {msg}')
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# 本地模型
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if model_name in llm_model_dict:
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path = llm_model_dict[model_name]["local_model_path"]
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config["model_path"] = path
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if path and os.path.isdir(path):
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config["model_path_exists"] = True
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config["device"] = llm_device
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# logger.debug(f"config: {config}")
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return config |