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
- [Feat] [NPU] qwen-image: Adapt Qwen-Image 2.1 on Ascend
- [ROCm][DSA] Add opt-in shape-aware prefill backend selection
- [diffusion][AMD] kernels: give mul_rn_f32 a ROCm path and re-enable the MiniMax-H3 VAE fused norms on ROCm
- [Fix] GraniteMoE: pass RoutingMethodType to FusedMoE for flashinfer_trtllm
- [Fix] [CPU] runtime: Defer optional AOT imports for torch_native serving
- [Doc] examples: Demonstrate CPU prefix reuse with full-response metrics
- [UMBP] Support MiniMax-M3 sparse KV in the direct external linker
- [model-gateway] Send worker API key during initial HTTP health check
- [Fix] deterministic: Align chunked prefill to the Gated DeltaNet block size
- [HiCache] Fix and document HF3FS benchmarks
- Docs
- Python not yet supported