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LangChain and LlamaIndex support #233
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Langchain integration is easier than it looks. You can add |
76 tasks
Please refer to https://python.langchain.com/docs/integrations/llms/vllm for the latest langchain integration! |
jikunshang
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Sep 24, 2024
Add extra mark_step() on each decode layer to optimize the performance on Gaudi. Signed-off-by: Bob Zhu <bob.zhu@intel.com>
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Excellent job, it made my LLM blazing fast. I tried it on T4 (16GB vRAM) and it seems to lower inference time from 36 secs to just 9 secs.
I then tried to use it along with LangChain and LlamaIndex but I got the following error:
ValidationError: 1 validation error for LLMChain
llm
value is not a valid dict (type=type_error.dict)
Can you please provide any guidance?
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