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Integrate pytorch poc python api #490
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dict( | ||
type=PytorchModel, | ||
abbr='llama2-chat-7b-pytorch-poc', | ||
path="/mnt/142/gaojianfei/quantization/smooth_llama_chat_absmax", |
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Please avoid the internal specific path
# meta_template=meta_template, | ||
# run_cfg=dict(num_gpus=1, num_procs=1), | ||
# ) | ||
# ] |
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Also remove the useless configs
return ret | ||
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class PytorchModel(BaseModel): |
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How about PytorchTurbomindModel
?
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Sorry for the ambiguity. With Turbomind
in lmdeploy, we harmoniously integrate C++ with Python to carry out the inference process. On the other hand, our Pytorch proof-of-concept prefers to take a more streamlined approach by solely utilizing Python for inference. To explore the utilization of Turbomind on OpenCompass, kindly consider referring to pr484 for detailed guidance.
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As inline comments
Also please fix the lint issue |
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