vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Feature]: enhance pcp with vllm
- [Spec Decode] Add PARD-2 parallel draft model support
- [Model] Add longcat_next MLA/dual-attention recognition
- [Bugfix] Do not discard model output when tool_choice defaults to "none" with no tools declared
- [CPU] [Feat] Add native AMX-FP8 attention impl for Diamond Rapids
- [Bug]: Streaming vs non-streaming content whitespace mismatch at tool-call boundaries (ParserEngine: qwen3/nemotron_v3/seed_oss/glm47_moe/gemma4)
- [Docs] Clarify ASR audio chunking is non-overlapping
- [XPU] [CI] Add MiniMaxM2ForCausalLM and NemotronParseForConditionalGeneration to model init test
- [Bug]: DeepSeek-V4-Flash-DSpark fails to launch with DSpark speculative decoding on SM120 Pro6000D (works fine when disabled)
- [Feature]: Support for GLM-5.2 NVFP4 on NVIDIA RTX PRO 6000 (SM120 Architecture)
- Docs
- Python not yet supported