vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- Make Longcat-Flash N-gram inputs compile-friendly and fix zero-expert MoE routing#33528
- [Bugfix] Fix Gemma3 multimodal placeholder replacement
- Introduce PaddingConfig to combine GPU cudagraph_capture_sizes and TPU num_tokens_paddings
- [Frontend] Plugin for OpenAI server (prototype)
- [Bug]: pythonic tool call parsing does not handle negative numeric literals
- [P/D][Feature] Support using NIXL together with PP
- [Kernel] Masked act_mul and fp8-quant Kernels for Batched MoE
- [Build] No need to use the more restrictive gencode then necessary
- [Performance]: Optimize beam search code
- [RFC][UX]: debug mode for vLLM-compile
- Docs
- Python not yet supported