transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- 🚨 Keep sliding-window decode on one graph past the window, for static and dynamic caches
- SDPA: enable_gqa=True silently falls back to the math kernel at batch 1 on torch < 2.14 without Flash Attention
- Gemma 3/4 multimodal models fail with tp_plan="auto" because of mixed Tensor/DTensor usage
- add support for jev like models
- Gate enable_gqa on fused SDPA kernel support
- Discussion: configurable decoder loops with shared parameters and independent execution caches
- [RFC] Add configurable decoder layer execution (reference implementation)
- Fix Trainer prediction handling with context parallelism
- SynthID-Text: CPU and MPS produce different sampling tables with the same seed
- [serge] Fix 2 integration tests for model `qwen2_moe` failing with `other` (other (2))
- Docs
- Python not yet supported