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
- [MM] Enable device normalization for Llama Nemotron VL Embed/Rerank
- [Bug]: --kv-cache-memory suggestion double-counts CUDAGraph memory (regression of #37426, reintroduced by #49208)
- [Bug]: FunctionGemma rejects hyphenated tool names only in non-streaming responses
- [KV offload] Add max_recompute_pending_tokens to skip waiting on short in-flight offloads
- [Feature]: [ROCm][AITER][Hy4] Enable gfx950 MXFP8 MoE and dense linear backends
- [Model] Add AliceAI support
- [Bug]: v0.28.0 — repeated illegal memory access / illegal instruction under production traffic with compressed-tensors per-tensor static FP8 (W8A8) on SM120 (RTX PRO 6000 Blackwell); v0.24.0 stable on the same host and checkpoint
- [KVConnector] Add priority-aware transfer ordering
- [Bugfix][Reasoning] Say why thinking_token_budget is unavailable
- [Bugfix][RL] Fail a weight update without taking the engine down
- Docs
- Python not yet supported