Deploying this model locally is quickest when done via Docker. Simply follow the directions outlined below. Next, start the model by running the docker-compose command. 🔗 SHA sum: 17294ae510b06da11246c9d0f5817216 | Updated: 2026-06-24 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB…