GPTQ

🔒 Hash checksum: 18959a92c45227383e95f4e14e7d69d1 • 📆 Last updated: 2026-07-12 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM:

🔍 Hash-sum: bd8dc9476d372ba34508522d40164f3a | 🕓 Last update: 2026-07-13 Verify Processor: next-gen chip for heavy context processing RAM: minimum 16 GB

🛠 Hash code: 9afe3efaa9e36060bd801aced5d5b33b — Last modification: 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly

📡 Hash Check: 59118ded2cd3aa15e41d4709d98cc5a3 | 📅 Last Update: 2026-07-16 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B

The fastest method for installing this model locally is by using Docker. Make sure to follow the instructions below. The

Setting up this model locally is incredibly fast if you use the native CMD prompt. Kindly follow the on-screen instructions

Using a native PowerShell script is the absolute quickest way to install this model. Use the instructions provided below to

To get this model running locally in no time, utilize the built-in WSL tools. Check out the detailed setup guide

Using a native PowerShell script is the absolute quickest way to install this model. Please follow the instructions listed below

Deploying this model locally is quickest when done via a simple curl command. Go through the configuration rules shown below.