[OpenVINO] Optimized weight compression for FP4 mode #3737
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| :param precomputed_scale: Optional precomputed scale. | ||
| :return: Returns quantized (for MXFP8_E4M3, FP4 and FP8_E4M3 normalized) | ||
| weight tensor and corresponding scale tensor. | ||
| :return: Returns quantized weight tensor and corresponding scale tensor. |
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MXFP8_E4M3 and FP8_E4M3 are actually not supported by optimized compression, no need to mention this.
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| MXFP4_QUANTILES = np.array( | ||
| F4E2M1_QUANTILES = np.array( |
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mxfp4 is a compression format with f4e2m1 weight, f8e8m0 scale and group size 32. While this grid is defined according to f4e2m1 data type, irrespective of other parameters. So renamed.
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Great contribution! A couple minor comments
daniil-lyakhov
approved these changes
Nov 18, 2025
ljaljushkin
approved these changes
Nov 19, 2025
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Changes
Added optimized weight compression through OpenVINO models for FP4 compression mode. Results should be similar to MXFP4 (#3550).
Reason for changes
Improving UX.
Tests
Extended
tests/openvino/optimized_functions/test_compression_functions.py