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
- [BugFix] Support DP/EP in AG/RS for FLASHINFER_CUTLASS FP8
- Factor out masked-m format silu_mul_quant and use it in BatchedTritonExperts
- Fix issues when run Nemotron Parse FP8 checkpoint
- [Feature]: Remove attention layer name from `unified_kv_cache_update`
- Scheduler: skip KV-blocked requests to prevent blocking (#31731)
- [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)
- [P/D][Feature] Support using NIXL together with PP
- [Bug]: vLLM crashes when using --enable-sleep-mode with Blackwell PRO 6000 GPUs
- Docs
- Python not yet supported