Fix dequant_mixed#4657
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Pull request overview
This PR fixes TurboMind model loading/inference for an AWQ checkpoint (Qwen3.6-27B-AWQ) by correcting dequantization behavior when weights/zeros are not in the expected packed int32 form, and by improving dtype auto-resolution for configs that wrap the language model under text_config.
Changes:
- Update
AWQFormat.dequantto dequantize both packed (int32) and already-unpacked tensor layouts. - When
dtype="auto", resolve dtype againsthf_model_cfg.text_configwhen present (common for VLM/aggregate configs).
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| lmdeploy/turbomind/weight_format.py | Fixes AWQ dequantization to support non-int32 (already-unpacked) tensors, preventing incorrect calls into dequantize_gemm. |
| lmdeploy/turbomind/converter.py | Ensures dtype="auto" consults text_config for the language model dtype when the HF config is an aggregate wrapper. |
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lvhan028
reviewed
Jun 9, 2026
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Motivation
Fix model(
/mnt/cfs/chenxin/Qwen3.6-27B-AWQ) loading and inference.https://www.modelscope.cn/models/tclf90/Qwen3.6-27B-AWQ/file/view/master/config.json?status=1