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][Spec Decode] Cap varlen decode graph requests at the draft pass capacity
- [ROCm][CI] nixl_integration/test_edge_cases.py fails when AITER on
- [ROCm][MoE] Move AITER MegaMoEV2 To Oracle
- [CI] Stop running everything for kv_connectors.txt and check-torch-abi.py
- [Core] Admit beam-search groups as one scheduling unit
- [Perf][MoE] Reuse expert mappings across fragmented weight loads
- [ROCm][Perf] Muse Spark: finalize the token-sharded MoE reduction in one reduce-scatter
- [Feature] PCP O-Proj TP: move split/restore logic into an intermediate `PCPOProjTP` layer
- [Entrypoint] Let the render server support api server count.
- [Bugfix][Metrics] Fix waiting and running adapter labels in vllm:lora_requests_info
- Docs
- Python not yet supported