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
- [Perf] Add fast all2all kernel, tested for DCP, 1.1% Throughput improvement
- [entrypoints/openai] add kv params to streaming api response
- [Perf] Cache get_sm_version_num() in cutlass dispatch
- [Core] Use fastsafetensors ParallelLoader for weight loading
- [Bug]: DeepSeek OCR doesn't work on vllm 0.19
- [Bug]: `response_format` suppresses tool calls when `tool_choice: "auto"` — constrained decoding prevents tool generation
- [Bug] Level-2 sleep/wake crashes with KeyError when enable_lora=True
- [Performance]: Eagle3 speculative decoding latency regression in v0.19 vs v0.18
- [RFC]: Fault-Tolerant EP Collectives and Fault-Aware EPLB
- Guided vLLM install mission in KubeStellar Console
- Docs
- Python not yet supported