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[Model] Support quantization of PixtralHFTransformer for PixtralHF #9921

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mgoin
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@mgoin mgoin commented Nov 1, 2024

Allows us to support quantization of the vision encoder for PixtralHF, where before we could only quantize the language model. Also converts the raw torch nn.Linear modules to proper merged vLLM Linear modules

Tested with

  • neuralmagic/pixtral-12b-FP8-dynamic (only MistralModel quantized)
  • nm-testing/pixtral-12b-FP8-dynamic-all (MistralModel and PixtralHFTransformer quantized, just not lm_head)

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@mgoin mgoin added the ready ONLY add when PR is ready to merge/full CI is needed label Nov 1, 2024
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LGTM! Not related to this PR in particular but does it make sense to use get_act_and_mul_fn and act_and_mul everywhere?

@ywang96 ywang96 merged commit a53046b into vllm-project:main Nov 5, 2024
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mgoin commented Nov 5, 2024

Yeah this was my thinking @ywang96, with get_act_and_mul_fn now we should be able to replace most hardcoded SiluAndMul usages. First I'm going to look to see if we need this ScaledActivation case anymore

JC1DA pushed a commit to JC1DA/vllm that referenced this pull request Nov 11, 2024
sumitd2 pushed a commit to sumitd2/vllm that referenced this pull request Nov 14, 2024
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4 participants