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
- [Frontend] Add serve warmup for completions, chat, and embeddings
- [ROCm][Attention] Use AITER as fallback for flash_attn_varlen_func
- refactor(envs): migrate vllm/envs.py to pydantic-settings
- [Model] Add DebertaV2ForSequenceClassification (cross-encoder / reranker)
- [Bug]: google/gemma-4-E2B-it text-only mode seems uses more VRAM than multimodal-mode
- [Bug]: MooncakeConnector may auto-select the wrong host IP when VLLM_HOST_IP is unset on multi-homed hosts
- [Fix]Fix one-sided MoE padding sentinel for local expert maps
- vLLM 0.20.1 hard-pins torch 2.11.0, which OOMs during CUDA initialization on RTX 4090 / cu130
- [Feature]: Output prompt text when enable `--enable-log-requests`
- [Performance]: Quantized KV Cache Throughput/TTFT/TPOT slower?
- Docs
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