feat: add quantization #217
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Pringled
approved these changes
Apr 21, 2025
| return embeddings.astype(np.float64) | ||
| elif quantize_to == DType.Int8: | ||
| # Normalize to [-127, 127] range for int8 | ||
| scale = np.max(np.abs(embeddings)) / 127.0 |
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Can this ever be 0 (zero division issues?)
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Only if all embeddings are 0
model2vec/quantization.py
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| elif quantize_to == DType.Float64: | ||
| return embeddings.astype(np.float64) | ||
| elif quantize_to == DType.Int8: | ||
| # Normalize to [-127, 127] range for int8 |
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Should this not be [-128, 127] (the range of an 8-bit signed integer)? Not sure if it's relevant for the code though since it doesn't change the division.
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I think the symmetry is more important than making sure the 1 extra value is used. I updated the comment.
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This PR adds quantization. Quantization can be applied during distillation, or during loading. Both are equivalent, except that distill-time quantization leads to smaller embedding sizes.