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Version 4.80 (#2061)
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CHANGELOG.md

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### Fixes and improvements
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* Upgrade Thrust submodule from 1.12.0 to CCCL 2.7.0 (#2062) by [@jordimas](https://github.com/jordimas)
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## [v4.8.0](https://github.com/OpenNMT/CTranslate2/releases/tag/v4.8.0) (2026-06-06)
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### New features
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* Add support for Google T5Gemma2 (#2058) by [@jordimas](https://github.com/jordimas)
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* Enables PACKED_GEMM by default for Intel MKL to improve Intel CPU performance (#2055) by [@jordimas](https://github.com/jordimas)
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### Fixes and improvements
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* Adopt latest BS_thread_pool library version v5.1.0 (#2053) by [@3manifold](https://github.com/3manifold)
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* Upgrade CI system dependencies and reduce build time (#2056) by [@jordimas](https://github.com/jordimas)
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* Fix PyPI publish: download wheels to dist/ to avoid directory hash error (#2050) by [@jordimas](https://github.com/jordimas)
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* Fix flaky transformers_wav2vec2 test (#1996) by [@3manifold](https://github.com/3manifold)
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## [v4.7.2](https://github.com/OpenNMT/CTranslate2/releases/tag/v4.7.2) (2026-05-18)
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### New features

README.md

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The following model types are currently supported:
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* Encoder-decoder models: Transformer base/big, M2M-100, NLLB, BART, mBART, Pegasus, T5, Whisper, T5Gemma, T5Gemma2
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* Encoder-decoder models: Transformer base/big, M2M-100, NLLB, BART, mBART, Pegasus, T5, Whisper, T5Gemma, T5Gemma2, MADLAD-400
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* Decoder-only models: GPT-2, GPT-J, GPT-NeoX, OPT, BLOOM, MPT, Llama, Mistral, Gemma, CodeGen, GPTBigCode, Falcon, Qwen2
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* Encoder-only models: BERT, DistilBERT, XLM-RoBERTa
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python/ctranslate2/version.py

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"""Version information."""
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__version__ = "4.7.2"
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__version__ = "4.8.0"

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