💾 File hash: e4b336957565b9f756ae284c63da33d5 (Update date: 2026-07-17) Verify Processor: next-gen chip for heavy context processing RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100 GB free space

📄 Hash Value: 6b2eeb7f9038f14cbcb5cc20f7aab5ba | 📆 Update: 2026-07-20 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Storage:100 GB free

🧮 Hash-code: b8a3bf58183d6de23ddc25cec4e435ad • 📆 2026-07-16 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: required: 16 GB absolute minimum for small models Disk Space:

📤 Release Hash: 1ff32ed7d96dcfb6bfcc6063fd22bc0d • 📅 Date: 2026-07-12 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB or higher for smooth 32k context lengths

The most rapid route to a local installation of this model is through WSL2. Follow the straightforward walkthrough provided below. An automated background process downloads all required large-scale

To get this model running locally in no time, utilize the built-in WSL tools. Kindly follow the on-screen instructions below. No manual effort needed; the setup auto-ingests the