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
- [RFC+prototype] Compile the decode step e2e incl. KV-cache management (B.1: slot-mapping in the decode cudagraph)
- [Bugfix][Spec Decode] Mask prefix-cache-restored tokens out of the DFlash/DSpark draft context
- [Bug]: DSpark launch failed with FP4 target model on GLM 5.2
- [EC Connector] P2P NIXL + CPU EC Connector
- [Bugfix][Tool Parser] Stream full single-delta tool calls
- [Draft] Investigate silent EngineCore hang in multimodal cache eviction
- Add KVCrush KV Cache compression for vLLM
- Add sparse MLA topology index policy and benchmark
- [Bug]: Qwen3-Reranker: Process Hang with `/score` Endpoint for Specific Data
- Add Shuka-1 model support (sarvamai/shuka-1)
- Docs
- Python not yet supported