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
- Add local-runtime CLI, launcher install flow, and easy model management
- [Bug]: vLLM crashed with V100 by running zai-org/GLM-OCR
- [Feature] Fuse per-group FP8 dynamic quant onto Triton attention kernel
- [Bug]: The 2-bit model repeatedly outputs !!!!, while Transformers works correctly.
- [Bug]: Benchmark tuning MoE kernel config fails due to triton 3.6
- [Performance]: KV cache ~7x memory overestimation for hybrid Mamba/attention models (Qwen3.5)
- [Bugfix] Fix TOCTOU race in KV block allocator causing prefix-cache block theft
- [WIP][Hardware] replace `torch.cuda.Stream` with `torch.Stream`
- [ROCm][Quantization] Add Quark W4A16 MXFP4 A16 for LinearLayer
- [RFC]: Active Coordination and Two-Zone Scheduling Mechanism for KV Cache in Long-Running Agents
- Docs
- Python not yet supported