Tthe LLM Compressor export modification in mixed‑precision mode: the original format unifies all layers as Linear, causing vLLM inference to fail during parsing. - #2128
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1607662794 wants to merge 2 commits into
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…ication: the original format unifies all layers as Linear, causing vLLM inference to fail during parsing.
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@Yi4Liu @WeiweiZhang1 please have a review |
yiliu30
requested changes
Aug 7, 2026
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| quant_format = _get_quant_format(model) | ||
| quantization_config = QuantizationConfig.from_pretrained(model, format=quant_format) | ||
| model.config.quantization_config = quantization_config.to_dict() |
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Hi @1607662794, we’ve handled the mixed-precision case this way. Could you follow the same approach here as well? Thanks!
auto-round/auto_round/export/export_to_llmcompressor/export_to_fp.py
Lines 313 to 322 in 98f2cdb
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Description
This PR fixes an issue where the LLM Compressor exports all layers as Linear type in mixed‑precision mode, regardless of their original type. This causes vLLM to fail during model parsing and prevents inference from starting.
Type of Change
Bug fix
Checklist Before Submitting
/azp run Unit-Test-CUDA-AutoRound.