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
- [Feature] Router GEMM should keep fp32 output under deterministic inference (DeepSeek V3/V4)
- docs(cookbook): DeepSeek-V4 Pro Official (0813) variant with DSpark recipes
- [DRAFT][PD] Add conditional aggregation to decode workers
- fix(docs): fix typos in DP for multimodal encoder doc
- feat(moe): enable DeepGEMM MoE runner on SM120 (RTX PRO 6000 / RTX 6000D)
- [Bug] [ROCm] Router GEMM output should always be fp32, and the expert correction bias should not be cast to bf16
- O(1) slot allocation in DecodeReqToTokenPool.alloc()
- feat(rust-server): support custom_logit_processor in /generate
- [Bug] compressed-tensors FP8 lm_head weight_scale silently dropped → degenerate repetition with unsloth/Qwen3.8-27B-NVFP4
- [Feature] Bit-exact correctness coverage for Unified Radix Cache
- Docs
- Python not yet supported