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
- [DSv4.1][PCP] Enable fixed DSpark and shared Engram storage
- [PCP] Enable CUDA graphs for DeepSeek-V4.1 with fixed-length DSpark
- [Bugfix][Multiproc] Fail fast on remote worker disconnects
- [Bug]: `--shutdown-timeout` never drains in-flight requests when `--api-server-count > 1`: the launcher stops the API servers before the engines, so every in-flight request fails with EngineDeadError and the engines then drain for nobody
- [ROCm][Kimi-K3] Mono MoE for decode steps the specialized decode does not take
- [Feature][Observability] Add tool-calling metrics
- [RustFrontend] Add shm mm cache support for rust frontend
- [Model Loader] Skip unused tensors with InstantTensor
- [Core][KV Cache] Move KV cache allocation policy out of KVCacheSpecs (RFC #42449 part 2)
- [Model] Enable LoRA support for tower and connector in MiDashengLM
- Docs
- Python not yet supported