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[Small writeup with charts.](https://html.cafe/x16d85e50)\r\n\r\n- Remove `flash-attention-2` and `xformers` dependencies\r\n- New attention kernel with online cache quantization, dual input for SWA layers and attention sinks\r\n- New conv1d kernel (removes support/need for `causal_conv1d`)\r\n- Greatly improved GEMM/GEMV performance on Ampere\r\n- New INT8 GEMV kernel\r\n- New MoE kernel ticket scheduler\r\n- Graph path for all attn/GDN modules\r\n- Fused sampling kernels and reduced GPU sync during sampling\r\n- Switch default codebook to **mul1**\r\n- Unpin `pydantic` (monkey-patch `formatron`\r\n- Add GptOssForCausalLM\r\n- Add NemotronHForCausalLM\r\n- Extend TP support to most models, including Gemma4\r\n- Work around pydantic/formatron compatibiltiy issue, unpin pydantic\r\n- Fix cancelled jobs sometimes hanging in AsyncGenerator\r\n- Many minor optimizations\r\n- Many more bugfixes\r\n- Many QoL improvements\r\n- Faster extension build with more compilation units\r\n\r\n**Full Changelog**: 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