vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Docs] Document kv_load_failure_policy in MooncakeStoreConnector guide
- [Bugfix][LoRA] Preserve idle DP adapters and remap MoE slots
- [Build] Let the NIXL source build take a Git ref and build the LIBFABRIC plugin
- [Bugfix][Core] Cover the first spec decode step in the full-sequence admission gate
- [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
- Docs
- Python not yet supported