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
- [Bugfix] Fix MiniMax tool-call arguments not streamed incrementally
- DCP supports hybrid attention
- Tree decoding segment
- [Model] Add support for openai/privacy-filter
- [P/D][Mooncake] Add cross-layer KV cache support to MooncakeConnector
- KVConnector: Introduce bind_scheduler_context
- fix(kv-cache): allow TurboQuant on hybrid models
- [WIP]Support DeepSeek V4 flash on SM120 with Triton fallback
- [Bugfix] Fix `RuntimeError: Already borrowed` by enforcing one tokenizer per thread and one thread in threadpool
- [NIXL][Bugfix] Fix block indexing in KV cache transfer for blocks-first layouts
- Docs
- Python not yet supported