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
- [Perf] Batch invariance with Cutlass fp8 support, 28.9% E2E latency improvement
- [P/D][Mooncake] Add KVConnectorStats for transfer observability
- fix: emit response.failed for responses streaming generation errors to avoid Pydantic error explosion
- [Model] Fix quantized DFlash Qwen3 draft support
- [Feature](ElasticEP) Implement cleanup and retry logic to recover from transient error
- [Bugfix] Exclude O(1) Mamba groups from hybrid KV cache token capacity
- Fix Gemma4 KV cache page-size alignment for per-token-head quantization
- [vLLM IR] Add E2E Lowering Tests
- Revert "[Bugfix] Fix scaled_mm output narrowing for 3D input tensors" (#38093)
- update minicpm tokenizer attrs for transformers compatibility
- Docs
- Python not yet supported