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
- [Bug]: Poolside Laguna-S-2.1 poolside_v1 reasoning parser falls back to IdentityReasoningParser and fails auto initialization
- [Spec Decode] Add PARD-2 parallel draft model support
- [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
- [Bug]: Token truncation leaves stale Request.block_hashes and can cause incorrect KV cache hits
- [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
- Docs
- Python not yet supported