Kategori: Tools

🛠 Hash code: 3dce0dab19c25590d331ce035f1653d5 — Last modification: 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: fast

💾 File hash: edbf3c7106a26e2e28b3a2eb158ff2ce (Update date: 2026-07-15) Verify CPU: multi-threading optimized for fast prompt processing RAM: 48 GB needed to

🖹 HASH-SUM: de9c58381741485f09ed751ab14e1e86 | 📅 Updated on: 2026-07-11 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for

The shortest path to running this model is by activating Hyper-V features. Follow the sequence of steps detailed below. The

For the fastest local setup of this model, enabling Windows Features is best. Please adhere to the deployment steps listed

For the fastest local setup of this model, enabling Windows Features is best. Refer to the instructions below to proceed.

To get this model running locally in no time, utilize the built-in WSL tools. Please adhere to the deployment steps

The fastest method for installing this model locally is by using Docker. Please adhere to the deployment steps listed below.

To install this model locally in the shortest time, opt for a direct curl execution. Simply follow the directions outlined