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
- [Doc]: Steps to run vLLM on your RTX5080 or 5090!
- [Hardware][TPU][V1] Multi-LoRA implementation for the V1 TPU backend
- VLLM for Qwen 2.5 72B produces all !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! outputs, regardless of prompt given GPTQ 4 bits quantization
- [V0][Fix] structured decoding compatibility with speculative decoding
- [V1][PP] Continue scheduling prefill chunks
- [Core] Add Additional Metrics to vLLM Server
- [Kernel][Triton][FP8] Adding fp8 and variable length sequence support to Triton FAv2 kernel
- [V1] Feedback Thread
- add support for AMD MI25/50/60
- Implements dual-chunk-flash-attn backend for dual chunk attention with sparse attention support
- Docs
- Python not yet supported