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@mgoin mgoin commented Jul 31, 2024

FIX #6957

Sometimes we add extra tensors when constructing quantized models in order to cover all permutations of checkpoints. In the linked issue, Gemma currently fails when loading FP8 quantization because we add k/v_scale parameters to be loaded in the case that calibrated kv cache scales are available. Since Gemma has a strict "no unloaded parameters" check, it fails in this case. To quickly unblock, I propose making this exception a warning. Eventually we can be more strict in allowing or disallowing unloaded parameters for all models, rather than just some.

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👋 Hi! Thank you for contributing to the vLLM project.
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@mgoin mgoin added the ready ONLY add when PR is ready to merge/full CI is needed label Jul 31, 2024
@WoosukKwon WoosukKwon merged commit f4fd390 into main Aug 1, 2024
@WoosukKwon WoosukKwon deleted the remove-unloaded-params branch August 1, 2024 19:01
Alvant pushed a commit to compressa-ai/vllm that referenced this pull request Oct 26, 2024
LeiWang1999 pushed a commit to LeiWang1999/vllm-bitblas that referenced this pull request Mar 26, 2025
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[Bug]: Failed to launch api_server with FP8D quantized gemma-2-27b-it on vllm 0.5.3post1
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