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
- fix(ovis2.5): prevent VTE crash from empty indicator_tokens
- [Model] Enable LoRA support for tower and connector in Intern-S1
- Fix/qwen3 vl text lora noop
- test: cover parallel sampling output kinds
- [Bugfix][Distributed] Disable fused allreduce when NVLink multicast is unavailable
- [Core][Model] Add Confident Decoding (phase 1: Llama + core utilities)
- [Feature]: PrefillDelayer for performant DPA
- Fix/gemma4 per layer attn no fa4
- [RFC]: [ROCm][DistInf]: Distributed Inference (Disaggregated P/D + Wide-EP) CI Enablement on ROCm
- [Bug]: Text PEFT LoRAs can silently no-op for wrapper models whose LM is mounted under language_model
- Docs
- Python not yet supported