If you want the fastest local installation for this model, use Docker. Use the instructions provided below to complete the setup. Next, execute the setup script or run docker-compose. 📦 Hash-sum → 611854c9474bee919e61613fc46eca03 | 📌 Updated on 2026-06-23 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for...