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
- [Bug] #35061 rejects multi-node custom all-reduce v2 without expandable segments, causing ~19% Llama-4 TP8 regression on GB300
- [Fix] server args: allow canonical option overridden by DeprecatedAliasStoreAction in --config
- [Feature] Support GLM-5.2 MXFP4 with DSA/NSA and Mega-MoE
- [Perf] NEXTN/EAGLE: draft embed_tokens/lm_head copies are released after KV pool sizing, significantly shrinking max_total_num_tokens
- [Fix] Preserve SWA mappings during tree eviction
- fix: clear VLM embedding cache on flush_cache
- [Bug] NGRAM trie capacity equal to max depth causes an invalid free and scheduler abort
- [Bug] [NGRAM] Removing a corpus during asynchronous loading returns success without cancelling the load
- perf: fuse static FP8 quantization into FlashInfer allreduce
- [Feature/RFC] Optional fp8 (quantized) input embedding to free VRAM for large-vocab models on small GPUs
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