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
- [Frontend][Performance] Reuse tokenized text across session turns
- [Bugfix][Multimodal] Resolve Qwen-Omni use_audio_in_video from merged processor kwargs
- [Perf][Frontend] Count prompt-closed reasoning tokens incrementally for continuous usage stats
- [1/3][Spec Decode] Add remote draft placement foundation
- [2/3][Spec Decode] Run own-KV drafts on a standalone GPU
- [3/3][Spec Decode] Add bounded CUDA IPC feature transport
- [ROCm][Perf] Replace MiniMax-M3 MonoKernel with ATOM full-layer implementation
- [ROCm] Heterogeneous fused shared experts for DeepSeek-V4.1 (native-FP8 shared slot, prefill-shaped batches)
- [Bugfix] Keep valid Hermes tool calls when a later region is malformed
- [Bugfix][Frontend] Honor --response-role and echo in chat derender
- Docs
- Python not yet supported