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
- Adding LoRA support for qwen omni model
- Workspace Reuse for MOE-LoRA Intermediate Buffers
- [Bench] Add /slow_down endpoint for P/D disaggregation benchmarking (when input/output ratio is large)
- [Bench] Add interactive mode and sample caching to vllm bench serve
- [WIP][CT][XPU] Add W8A16_FP8 MoE Support
- [BugFix] Fix tool parser crash with parentheses in descriptions
- [BUGFIX] Make HF input preprocessing async to prevent frontend event loop blocking
- [Core][Bugfix] Add logprobs_mode_override capability for request-level fine-grained control over logprob computation
- [MoE Refactor] Improve Oracle for Backend Specific Defaults
- [Bug]: Exception: WorkerProc initialization failed due to an exception in a background process. See stack trace for root cause.
- Docs
- Python not yet supported