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
- [Docs] Clarify ASR audio chunking is non-overlapping
- [RFC] [Feature] [Experimental] Support GigaToken Accelerated Tokenizer Mode
- [RFC]: KV offload event path refactor — provenance-carrying events and key-only removals
- [Perf] Add mm_tensor_ipc=cuda_ipc TP-aware GPU transport
- [Bugfix] Fix pipeline parallelism for Kimi-Linear
- [Bug]: Decode instance segfaults on NIXL `loadRemoteMD` after prefill pod restarts in P/D disaggregation
- [Perf] [Feat] [ROCm] Add densemha support to ROCm AITER Sparse MLA
- Add vllm:kv_offload_cpu_total_blocks capacity metric
- [MoE][Kernel] Add optional HPC BF16xFP32 router GEMM
- fix(sampler): fall back to native sampling when flashinfer is absent
- Docs
- Python not yet supported