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
- connects vLLM Recipes with vLLM's native config-based deployment and benchmark
- Bound generation inputs before expensive work
- [Bugfix][DP] Don't assume the engines started when forwarding a wake
- Fix DCP max-size check to account for PCP-induced KV duplication
- [Bugfix][Attention] Forward per-head FP8 descales through FA4
- [DeepEPv2] Support MXFp8 Activation Scale Dispatch
- [Model Loader][Perf] Auto-prefetch VirtioFS checkpoints
- [Bugfix] Fix DeepSeek V4 mHC broadcast buffer for dummy load and weight refit
- [Online quantization] Add targeted online quantization configuration based on user patterns
- [Bugfix][Benchmark] Preserve SSE output across transport chunk boundaries
- Docs
- Python not yet supported