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
- Fully generalise input embedding handling in Transformers modelling backend
- Add feature to support deepseek v4 flash on sm75 turing (2080ti)
- [Perf][Hybrid] Skip redundant num_accepted_tokens H2D copy after preprocess_mamba
- [Bugfix] Restore default torch dtype on exception in set_default_torch_dtype
- [Bug]: nvidia/Kimi-K2.6-NVFP4 TP=4 segfaults during cuDNN vision profiling on GB200 ARM64 unless --language-model-only is set
- [CI Failure]: LM Eval PCP (4xB200)
- [Bug]: MinimaxM3ToolParser (Rust) fails on MiniMaxAI/MiniMax-M3-MXFP8 tool output; raw markup + ']<]minimax[>[' special token leaks into content
- [Bugfix][Rust] MiniMax-M3 tool parser: accept elided first-parameter opening tag
- support mxfp8 dispatch
- [Bug]: CPU offload cannot pin regions of 512 GiB or more (single cudaHostRegister call)
- Docs
- Python not yet supported