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
- [GLM-5.3] Capture the KDA extend in breakable prefill CUDA graphs
- [Perf] Padded decode CUDA-graph slots cost more with longer contexts on the triton backend (bs 5 on the bs-8 graph: 27.7 -> 35.9 ms/token at 30K)
- [Bug][AMD] aiter unified attention: Gemma 2/3 batched generations run away (Gemma 3 4B GSM8K 0.57 vs 0.83 on triton)
- [Bug] `--json-model-override-args '{"rope_scaling": ...}'` drops `rope_theta` for models without a per-model fallback: Llama-3.2-3B-Instruct GSM8K 161 → 106 (first 200)
- [DO NOT MERGE][CI] Move 1-gpu-large tests that pass on the 5090 to 1-gpu-small
- [Bug] streaming silently loses up to 5 tokens of text when detokenizer state is evicted mid-request
- [Perf] Optimize DeepSeek V4.1 Flash dense, indexer, mHC and MoE paths on Hopper
- Does a keyless upstream have to go without model discovery?
- docs: sync LMSYS SGLang blog cards
- [Fix] Serialize UnreducedOutput payloads in the non-intrusive dumper
- Docs
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