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
- [DeepSeek] Eliminate per-step elementwise kernels on the BF16 MLA-absorb path (follow-up to #31604)
- [DeepSeek] Add SGLANG_MLA_ABSORB_FP8: per-tensor FP8 MLA-absorb weights (follow-up to #31604)
- [trtllm_mla] Fuse cuda-graph metadata rebuild into one triton kernel
- Avoid DSA MQA chunking caused by cached CUDA memory
- [DSA] Handle partial-DP padding in Decode page-table transform
- [BugFix][NPU] Use cumulative sequence lengths for ViT attention
- [MiniMax-M3] Add SM90 MXFP8 Inference Support with DeepGEMM
- fix: validate logit bias before scheduling
- [AMD] Reuse PR test stages and throttle matrix fanout
- Tool-call parsers lose or corrupt data at streaming chunk boundaries (multiple detectors)
- Docs
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