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
- CPU] Fix OMP lscpu JSON when NUMA node key is absent
- [Bug]: qwen3.5 when enable response_format json_schema outputs garbled spaces
- [Performance]: llmcompressor W8A8 Inference: decoding stage speed is lower than FP16
- [2/N] Pass `vllm_config` to the Attention constructors
- [Bug]: qwen 3.5 model launch get stuck for quite a long time
- ROCm sometimes compiles problematically on torch.log on MI325
- fused_moe_kernel opt
- [Feature]: Parity with CUDA: vLLM router should have ROCm CI
- [OPT] Optimize the fused moe triton kernel routing expert accumulation
- [Quantization] Convert NVFP4 weights to FP8 on Hopper for faster inference
- Docs
- Python not yet supported