💡 KVarN delivers 3-5x more KV-cache capacity and up to ~1.3x the throughput of FP16, so you fit far longer contexts and serve more concurrent requests, with FP16-level accuracy. 🔌 Calibration-free, plug-and-play with vLLM. A native vLLM attention backend: add one flag, no model changes, no calibration. A grinding apparatus used to reduce substances into smaller particles or powder, especially ...