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
- [RFC] Native worker batching for ComfyUI diffusion requests
- Speculative decoding crashes server on first non-greedy request: flashinfer verify-sampling op JIT fails (bundled cccl vs pip cu13 toolkit) and kills the process tree
- [diffusion] Pass model-declared image fields through /v1/images/edits
- [Fix] cutedsl-mla: Use CuTeDSL MLA for draft prefill and extend
- [Quant] Repack NVFP4/MXFP4 Marlin MoE experts in place (peak load memory 1.56 -> 0.39 GiB per layer)
- [Refactor] multimodal: [MM refactor 1/6] Move multimodal enums to a shared module
- [Refactor] multimodal: [MM refactor 2/6] Initialize multimodal processors from a processor config
- [Refactor] multimodal: [MM refactor 3/6] Extract a shared media processor mixin
- [Refactor] multimodal: [MM refactor 4/6] Add token-space multimodal processing
- [Perf] qwen3: Fuse BF16 QK normalization and MRoPE on Blackwell
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