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] Avoid full prompt logprobs materialization in V1
- [Bug]: vllm start with TieringOffloadingSpec mmap_obj error
- [Bug]: marlin_gemm shape mismatch (size_k doubled) for google/gemma-4-12B-it-qat-w4a16-ct on vLLM v0.22.0
- [XPU] fix transformers version for xpu platform
- docs: add AI Badgr hosted GPU deployment option
- [Model Runner V2][Spec Decode]Support peagle spec decode
- [Bug]: Setting prompt_embeds does not work for vision-language models
- [Bug]: [Bug] CUDA illegal memory access with Gemma-4-31B-it + RedHatAI/gemma-4-31B-it-speculator.dflash (DFlash)
- feat: add optional torchembed RoPE backend
- Fix cumem allocator cleanup on allocation failures
- Docs
- Python not yet supported