Deploying this model locally is quickest when done via Docker. Follow the guidelines below to continue. You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you. 📤 Release Hash: adca7f231b873e5e6cc2120c542bae19 • 📅 Date: 2026-06-28 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background […]