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
- [Core] MoE timeout-based error detection and graceful degradation. (Phase 0 of RFC #27774)
- Add minimal suffix decoding example script
- [FEAT] [AITER] [ROCm] integrate aiter bpreshuffle and ck ops
- cake modification
- [Performance]: Fully Async Spec-Decoding | Make `seq_lens_cpu` in CommonAttentionMetadata optional
- Prototyping single batch overlapping for Deepseek EP
- [RFC]: Support Dynamic Context Parallelism
- Add OpenVLA model support
- fix(gguf): Skip lm_head mapping for models with tied word embeddings
- [RFC]: Enabling Zero-Copy Video with PyNvVideoCodec and IPC
- Docs
- Python not yet supported