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
- [LoRA] Gemma3n LoRA support
- [Frontend] Add FP8 output quantization support to FlashAttention backend
- [Bugfix][chat_completion] ensure tokenizer eos_token_id is added to stop_token_ids
- [Feat] Add RMSNorm NvFp4 Quant Operator (#32612)
- [Bug]: vLLM server hangs and timeouts after initial requests
- [V1][Core] Add a cache hit threshold for requests
- Fix GPTQ Marlin MoE mixed precision support
- [Backend][WIP] Integrate MPK (Mirage) compiler as an experimental execution backend to vLLM
- [ROCm] Group quant RMS norm fusion patterns
- Cpu binding to improve GPU performance and utilize idle CPU cores
- Docs
- Python not yet supported