Tools

The fastest method for installing this model locally is by using Docker. Please follow the instructions listed below to get started. 1-click setup: the app automatically fetches the large weight files. You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you. 🖹 HASH-SUM: 8dd86e99d6924acde97cd94ba9c45c6a | 📅 Updated […]

For the fastest local setup of this model, Docker is the best choice. Review and follow the instructions below. The client handles the setup, pulling gigabytes of data automatically. Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency. 📡 Hash Check: 84dfcdb0aa8fe11a539c3028bd3071a5 | 📅 Last Update: 2026-06-25 Verify

Using Docker is the absolute quickest way to install this model on your local machine. Follow the step-by-step instructions below. Then, execute the docker-compose up command to launch the model. 🔧 Digest: 6f29ce8df7a6b034da90edff0f698e1e • 🕒 Updated: 2026-06-22 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: