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
- [Bugfix][Kernel] Fix divergent warp collectives in partial NeoX QK-Norm+RoPE
- [Feature] Follow Up from inital ROCm DI CI enablement PR to break it up into smaller chunks - Nightly ROCm WideEP (EP>=16) DI CI
- [Profiler] Make distributed profiling transactional
- [Model] Support Solar Open2 (SolarOpen2ForCausalLM)
- [Benchmark] Add cached tokens to vllm bench serve
- [Kernel] Enable CUTLASS MXFP4 W4A4 MoE on SM12x
- [Test] Cover the non-TurboQuant skip-layer path through customize_spec
- Feature/zoomkv v020 latest
- [Feature][Core] Allow expert override for insufficient KV cache capacity
- [Bugfix] Skip MoE padding across router paths
- Docs
- Python not yet supported