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
- [Feature] Add --max-unfinished-requests apiserver parameter
- AMD remove sync visible devices
- Port SiluAndMul activation to vLLM IR op part 1
- [vllm IR] Port FP8 Quantization to vLLM IR Ops
- Add LFU policy for CPU KV offloading
- [Metrics] Add num_requests_prefilling/decoding Prometheus gauges
- [Bug]: `block_size=8` triggers Triton CompilationError in FlexAttention kernel; other backends correctly reject
- [torch.compile] Proper PassManager infrastructure
- [Bug]: V1 engine prefix caching was causing non-deterministic outputs during greedy decoding T=0
- [Bug]: Gemma4 tool-call-parser produces <pad> tokens under concurrent requests
- Docs
- Python not yet supported