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
- [ROCm][CI] Baseline legacy extensions in the Torch ABI audit
- [Bugfix][V1] Sync mamba_block_size via EngineCoreReadyResponse
- [Feature]: Consolidate performance benchmark datasets
- [ROCm][Quark] Enable opt-in K3 SiTUv2 A8W4 routed MoE
- [Doc] Use wheel index for CUDA variant installation
- [Bugfix][Core] Await multi-iterator cancellation cleanup
- [Feature]: Enable offline benchmarking on MMVU dataset with `vllm bench throughput`
- [XPU] Route AWQ linear through choose_mp_linear_kernel
- [Bench] Support MMVU in throughput benchmark
- [Bug]: Qwen/Qwen3.6-35B-A3B and Qwen/Qwen3.6-35B-A3B-FP8 issue while inferencing on Intel XPU (4xB70)
- Docs
- Python not yet supported