🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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/ docs/source/en/quantization/selecting.md February 16, 2026
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SINQ quantization strategy integration (adapted for Transformers V5) (#43112)
Chiara Boretti committed
October 1, 2025
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docs: update bitsandbytes platform support (#41266)
Matthew Douglas committed
September 30, 2025
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Fix white space in documentation (#41157)
Yuanyuan Chen committed
September 23, 2025
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Format empty lines and white space in markdown files. (#41100)
Yuanyuan Chen committed
April 16, 2025
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Update quantization docs (#37439)
DerekLiu35 committed
April 9, 2025
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Add "selecting a quantization method" doc (#37159)
DerekLiu35 committed