fix calibration device issue in some scenarios #1213
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…to fix_qwen3_vl
wenhuach21
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Copilot,
xin3he and
yiliu30
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Pull request overview
This PR fixes device placement issues in the Qwen3-VL model implementation and improves memory management during calibration. The changes address device mismatches that could cause runtime errors when models are distributed across multiple devices.
Key changes:
- Updates Transformers version check for Qwen3-VL MoE compatibility
- Corrects device placement to use
self.model.deviceinstead ofself.device - Implements balanced memory allocation for multi-device model deployment
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| auto_round/modelling/qwen3_vl_moe.py | Updates version comparison logic for Transformers 5.0 compatibility |
| auto_round/compressors/mllm/compressor.py | Fixes device placement for tensor operations during calibration |
| auto_round/compressors/base.py | Adds balanced memory allocation and improves device placement consistency |
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yiliu30
approved these changes
Jan 4, 2026
Co-authored-by: Copilot <[email protected]>
wenhuach21
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