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v0.7.0

laramies/theHarvesterv0.7.0Oct 5, 2025by Pringled

AI Summary

This release focuses on performance optimizations and configuration improvements, introducing vocabulary quantization, faster model loading, and support for Python 3.13. It also adds new features for classifier freezing and configurable pooling.

Key Highlights

  • Vocabulary quantization support for improved efficiency
  • Faster model loading when cache is available
  • Configurable padding tokens and embedding data types
  • Python 3.13 support added to CI and project config
  • Deprecation of 'apply_zipf' and 'use_subword' parameters

New Features

  • Support for passing weight to loss functions
  • Classifier freezing feature
  • Configurable pad token
  • Faster loading if model already cached
  • Added embedding_dtype and vocabulary_quantization to config
  • Configurable pooling for distillation

Full Release Notes

## What's Changed
* add support for passing weight to the loss functions by @volker48 in https://github.com/MinishLab/model2vec/pull/260
* fix: padding token not recognized, update transformers by @stephantul in https://github.com/MinishLab/model2vec/pull/265
* Fix tag train documentation by @Lhemamou in https://github.com/MinishLab/model2vec/pull/269
* chore: Added python 3.13 to pyproject and CI by @Pringled in https://github.com/MinishLab/model2vec/pull/270
* feat: add classifier freezing by @stephantul in https://github.com/MinishLab/model2vec/pull/274
* fix: remove windows tests by @stephantul in https://github.com/MinishLab/model2vec/pull/277
* feat: add configurable pad token by @stephantul in https://github.com/MinishLab/model2vec/pull/276
* feat: faster loading if model already cached by @stephantul in https://github.com/MinishLab/model2vec/pull/278
* feat: add vocabulary quantization by @stephantul in https://github.com/MinishLab/model2vec/pull/271
* fix: load faster, make quantization better by @stephantul in https://github.com/MinishLab/model2vec/pull/279
* fix: F rule, A rule, update ruff by @stephantul in https://github.com/MinishLab/model2vec/pull/281
* feat: Added embedding_dtype and vocabulary_quantization to config by @Pringled in https://github.com/MinishLab/model2vec/pull/280
* fix: Disable MPS for Torch versions >=2.8.0 by @Pringled in https://github.com/MinishLab/model2vec/pull/287
* feat: Add configurable pooling for distillation by @Pringled in https://github.com/MinishLab/model2vec/pull/288
* chore: Deprecate apply_zipf and use_subword parameters by @Pringled in https://github.com/MinishLab/model2vec/pull/289
* chore: Rename PoolingType to PoolingMode by @Pringled in https://github.com/MinishLab/model2vec/pull/290
* docs: Update main docs by @Pringled in https://github.com/MinishLab/model2vec/pull/291
* chore: Bump version by @Pringled in https://github.com/MinishLab/model2vec/pull/292

## New Contributors
* @volker48 made their first contribution in https://github.com/MinishLab/model2vec/pull/260
* @Lhemamou made their first contribution in https://github.com/MinishLab/model2vec/pull/269

## Deprecation warnings ⚠️ 
* `apply_zipf` and `use_subword` are now officially deprecated from distill

**Full Changelog**: https://github.com/MinishLab/model2vec/compare/v0.6.0...v0.7.0