transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Incorrect inter-chunk recurrence in `NemotronHMamba2Mixer.torch_forward` (slow path). the Mamba2 fix from #35154 was never propagated to `nemotron_h`
- Fix inter-chunk recurrence in the Zamba2 / Nemotron-H Mamba2 slow path
- Compressed tensors fp8
- Fix FA2 long-context perf regression (#46693)
- Command allowlist bypass via $(...) command substitution under ALLOW_SHELL_OPERATORS=true
- Fix prompt lookup decoding length cap
- Also size the device_map buffer from the largest leaf module (follow-up to #47203)
- docs: update quantized cache hqq/quanto examples and documentation
- Tar-slip / zip-slip arbitrary file write → RCE ...
- Add Granite-swa and Granitemoe-swa model support
- Docs
- Python not yet supported