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Not able to used qlora models with vllm #252

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royrajjyoti1 opened this issue Jun 26, 2023 · 4 comments
Closed

Not able to used qlora models with vllm #252

royrajjyoti1 opened this issue Jun 26, 2023 · 4 comments

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@royrajjyoti1
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I have trained falcon 7b model with qlora but the inference time for outputs is too high.So I want to use vllm for increasing the inference time for that I have used a code snippet to load the model path
llm = LLM(model="/content/trained-model/").
But I am getting an error :

OSError: /content/trained-model/ does not appear to have a file named config.json. Checkout 
'https://huggingface.co//content/trained-model//None' for available files.
@royrajjyoti1
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Thank you @zhuohan123 for the reply.
Can you provide me the ETD for falcon model because I have checked 4 days before it will be up in few days.( [https://github.com//issues/195])

@ehartford
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You just need to merge the model. Vllm doesn't support LoRA.

@fabianlim
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@ehartford but merging has to be done in higher precision. Doesnt that defeat the purpose of wanting to have the base weights in low precision to speed up inference?

@hmellor
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hmellor commented Mar 8, 2024

Closing in favour of the feature request #3225

@hmellor hmellor closed this as completed Mar 8, 2024
jikunshang pushed a commit to jikunshang/vllm that referenced this issue Sep 11, 2024
RuntimeErrors are not observed anymore on habana_main when
disable_tensor_cache is used. This PR enables disable_tensor_cache.
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4 participants