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
- [Feature] Support ServerlessLLM 6-10X faster checkpoint loading format
- MXFP8 Online Quantization for Linear
- [Frontend][Core][Tracing] Add token-level OTEL tracing for prod observability
- [Platform] Replace hardcoded cuda by current_platform in ModelRunner
- [Performance] Add manual GC control to reduce GPU scheduling latency
- [Bug]: Degradation of Qwen/Qwen3-30B-A3B performance depending on batch size
- [Feature]: Add Support for thinking_budget for Qwen3 Models
- [RFC]: Optimize embedding task
- [Bench] Add Triton NVFP4 GEMM
- [Feature]: Add LORA Model Name in Open Telemetry
- Docs
- Python not yet supported