sglang
https://github.com/sgl-project/sglang
Python
SGLang is a high-performance serving framework for large language models and multimodal models.
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- Issues
- [diffusion] fix: MiniMax H3 sigma schedule off-by-one
- [Feature] Optimize Per-Tensor FP8 GEMM on SM120
- Unified Full KV Cache Layout in L3
- [Bug] DSpark draft depth 5 (the checkpoint default) corrupts output on SM120 — depths 3, 4, 6, 7 are clean
- [Bug] Multi-output diffusion rollout: per-sample trajectories collapse to output 0, grouped forward AttributeError, provided latents skip packing
- [Tracking] PD disaggregation shared-protocol unification
- [MiniMax-M3] Gather-transpose batch KV pages for MSA sparse prefill (Hkv > 1)
- [Diffusion] Avoid H2D/A2A contention during layerwise offload
- [multimodal] Bound tokenizer-side GPU memory in Kimi GPU image preprocessing
- [Bug] Flashinfer backend is not supported on Blackwell GPUs
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