39 lines
1.6 KiB
Python
39 lines
1.6 KiB
Python
# """
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# 对各个llm模型进行单元测试
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# """
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def validate_path():
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import os, sys
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os.path.dirname(__file__)
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root_dir_assume = os.path.abspath(os.path.dirname(__file__) + "/..")
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os.chdir(root_dir_assume)
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sys.path.append(root_dir_assume)
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validate_path() # validate path so you can run from base directory
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if __name__ == "__main__":
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# from request_llms.bridge_newbingfree import predict_no_ui_long_connection
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# from request_llms.bridge_moss import predict_no_ui_long_connection
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# from request_llms.bridge_jittorllms_pangualpha import predict_no_ui_long_connection
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# from request_llms.bridge_jittorllms_llama import predict_no_ui_long_connection
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# from request_llms.bridge_claude import predict_no_ui_long_connection
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# from request_llms.bridge_internlm import predict_no_ui_long_connection
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# from request_llms.bridge_deepseekcoder import predict_no_ui_long_connection
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# from request_llms.bridge_qwen_7B import predict_no_ui_long_connection
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from request_llms.bridge_qwen_local import predict_no_ui_long_connection
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# from request_llms.bridge_spark import predict_no_ui_long_connection
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# from request_llms.bridge_zhipu import predict_no_ui_long_connection
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# from request_llms.bridge_chatglm3 import predict_no_ui_long_connection
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llm_kwargs = {
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"max_length": 4096,
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"top_p": 1,
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"temperature": 1,
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}
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result = predict_no_ui_long_connection(
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inputs="请问什么是质子？", llm_kwargs=llm_kwargs, history=["你好", "我好！"], sys_prompt=""
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)
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print("final result:", result)
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