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
- [RFC]: KVarN: a calibration-free, variance-normalized sub-8-bit KV-cache quantization backend
- [Doc]: vLLM 0.23.0 + Qwen3-VL-8B-Instruct-FP8 on RTX 5080 (Blackwell) - Engine initializes but generate() hangs silently
- Qwen3-VL-8B-FP8 on RTX 5080 (Blackwell SM120) - engine init OK but generate() hangs silently
- [Bugfix] Fix IPC handle leak in CustomAllreduce during CUDA graph memory profiling
- [RFC]: Add Helion linear backend for vLLM
- Create devcontainer.json
- [Perf][V1] Apply min-p in log-space to avoid a redundant softmax
- [Perf][V1] Reuse log-probs to avoid a second softmax in native sampler
- [Bugfix][Attention] Enable FlashInfer mm-prefix attention
- [Bugfix] Fix KV cache memory leak when all requests finish with connector
- Docs
- Python not yet supported