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