optimize vram for gguf and add momentum #1031
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…o fix_imatrix # Conflicts: # auto_round/data_type/gguf.py
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wenhuach21
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Pull Request Overview
This PR fixes an imatrix padding issue and optimizes VRAM usage for GGUF export. The changes introduce memory management improvements and add support for chunked quantization processing to handle large tensors more efficiently.
Key changes:
- Fixed imatrix padding by ensuring it's padded to the correct group size with appropriate fill value (1e-5)
- Added chunked processing for large tensors in quantization search to reduce memory usage
- Consolidated memory cleanup utilities and added momentum parameter support
Reviewed Changes
Copilot reviewed 7 out of 7 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| auto_round/export/export_to_gguf/packing.py | Added memory clearing and imatrix device handling in exception path |
| auto_round/export/export_to_awq/utils.py | Removed duplicate clear_memory function |
| auto_round/data_type/utils.py | Added configurable padding value parameter |
| auto_round/data_type/int.py | Fixed imatrix padding with appropriate fill value |
| auto_round/data_type/gguf.py | Added chunked processing for large tensors and refactored quantization search |
| auto_round/compressors/base.py | Added momentum parameter support |
| auto_round/main.py | Added momentum command-line argument |
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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wenhuach21
changed the title
WeiweiZhang1
approved these changes
Nov 14, 2025
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