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][Frontend] Mark background Responses failed when generation raises
- [Bugfix][Model Runner V2] Use int64 logits row offsets in the grammar bitmask kernel
- [Bugfix][Benchmark] Take openai-audio input tokens from server usage
- [Core] Registerable device-transfer backend seam for KV offloading workers
- [Recipe] Add DeepSeek V4.1 Flash Ascend A3 W8A8 configuration
- [ROCm][Perf] Add Triton skinny GEMM for 6-128 rows on RDNA4
- [Bugfix] Fix KV cache pages for hybrid models with draft layers
- [XPU][LoRA] Support unquantized MoE LoRA
- [RFC] Expose allocator-issued KV block generations to asynchronous connectors
- [Bug]: DeepSeek-V4.1: wrong output when the last chunk of a chunked prefill runs as a piecewise CUDA graph
- Docs
- Python not yet supported