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[DRAFT] Added possibility to launch int8 with group_size and scale estimation - #4273
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AsyaPronina wants to merge 2 commits into
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AsyaPronina
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October 19, 2026 09:23
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🟡 Changes recommended
INT8 scale estimation can erase weights with zero calibration activations and overflow on signed INT8 targets.
2 open issues
What changed in this PR
Extends OpenVINO INT8 weight compression with group-wise quantization and calibration-based scale estimation.
Changes:
- Enables INT8 grouping while retaining per-channel compression for multi-axis weights.
- Enables INT8 scale estimation with backend-specific validation.
- Adds OpenVINO tests and usage examples.
| File | Description |
|---|---|
| tests/openvino/native/quantization/test_weights_compression.py | Tests grouping, convolution fallback, and scale estimation. |
| src/nncf/quantization/quantize_model.py | Validates backend support and documents grouping. |
| src/nncf/quantization/algorithms/weight_compression/scale_estimation.py | Allows estimation for configurable bit widths. |
| src/nncf/quantization/algorithms/weight_compression/algorithm.py | Configures INT8 estimation and per-channel fallback. |
| docs/usage/post_training_compression/weights_compression/Usage.md | Documents INT8 options and examples. |
Review effort: Balanced
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