🔍 Hash-sum: 915ecef1e74dabb8b198d11649042479 | 🕓 Last update: 2026-07-13 Verify CPU: multi-threading optimized for fast prompt processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: 150+ GB for high-context vector database storage GPU:
📘 Build Hash: 3e88605bef9d94537ea7b4106a9e1353 • 🗓 2026-07-11 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for
The shortest path to running this model is by activating Hyper-V features. Go through the configuration rules shown below. The script takes care of fetching the multi-gigabyte model weights. The installer will automatically
Deploying locally takes the least amount of time when executed through native OS tools. Refer to the instructions below to proceed. The client handles the setup, pulling gigabytes of data automatically. The installer
If you need a near-instant local setup, just fetch files via a basic curl request. Follow the sequence of steps detailed below. The process automatically pulls down gigabytes of critical model assets. The
The fastest way to get this model running locally is via Optional Features. Proceed by following the technical instructions below. The setup auto-downloads all needed files (several GBs). There is no manual tuning
Homebrew offers the quickest path to setting up this model locally. Follow the guidelines below to continue. The framework seamlessly downloads the massive neural network binaries. The setup file includes a feature that