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
- [Perf] GGUF: use MMQ from 2 rows for very large matrices (e.g. lm_head)
- [Feature] Add native SmolLM3 support
- Support smollm3
- [Perf] GGUF: merged linear shards as flat views, no per-forward weight copy
- [Quant] compressed-tensors NVFP4 MoE: add Marlin (W4A16) path
- [Diffusion] fp8_fa_sm120: keep listed attention layers in BF16
- [Bug] Gemma4ForCausalLM loader ignores global_head_dim for full-attention layers — text-only Gemma‑4 A4B checkpoints fail to load (same weights load fine as Gemma4ForConditionalGeneration)
- [Bug] PPLX MoE A2A padded tokens with topk_ids = -1
- [PD] Add UniFlow as a native KV transfer backend
- [Platform] Unify multimodal_gen platforms onto DeviceMixin
- Docs
- Python not yet supported