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
- [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
- [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
- [Bug]: DeepSeek-V3/V3.1 tool parser drops the tool call when start+end tokens land in the same streaming delta
- docs: mention accelerated load formats for ModelOpt
- Docs
- Python not yet supported