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
- fused_moe_kernel opt
- [Feature]: Parity with CUDA: vLLM router should have ROCm CI
- [Bugfix] Correct mistake in chained comparison in static assert logic
- [Refactor] Merge duplicate checks and error handling in Executor
- [OPT] Optimize the fused moe triton kernel routing expert accumulation
- [Quantization] Convert NVFP4 weights to FP8 on Hopper for faster inference
- [Core] Preempt requests with fewer num_computed_tokens to reduce wasted computation
- [compile] fuse rope and cache insertion for mla
- [CI][ROCm] Add Qwen3.5-35B-A3B-MXFP4 model eval into CI
- [ROCm] Enable dual-stream MoE shared experts and GLM-5 MXFP4 Quark support
- Docs
- Python not yet supported