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
- [Core][CI/Build] Make outlines disk cache optional
- [Bugfix][KV Transfer] Reject NixlConnector + expandable_segments:True
- WIP: Add opt-in BF16 linear compile path
- [Kernel] Add H20-3e FP8 block-scaled GEMM tuned configs for DeepSeek-V4-Flash expert shapes
- [Model] Add Apertus Tool Parser
- [Core] Make encoder budget args configurable via CLI
- [CPU] Add FP8 W8A16 linear support
- Refactor Dockerfile and update release pipeline configuration
- [Config] Auto-upgrade compilation mode when cudagraph_mode requires VLLM_COMPILE
- [ROCm][CI] Extend ROCm AITER MHA (FA) coverage
- Docs
- Python not yet supported