Zero-Shot

🗂 Hash: 82f6f2ce981f496ce3c8a304ffdc90e9 • Last Updated: 2026-07-16 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher […]

🧩 Hash sum → 3803a12844d539266a07b70f15173935 — Update date: 2026-07-14 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM:

🧩 Hash sum → c6c63662205ee41608b2565d14123bcd — Update date: 2026-07-16 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B

📦 Hash-sum → 8f39e1c185e78061c248d7ef1e1842a9 | 📌 Updated on 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB highly

📤 Release Hash: f546de27430d85951e7639a0e4a9e596 • 📅 Date: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: minimum 16 GB for

📦 Hash-sum → 10521c372c9683e25831cec694b8105b | 📌 Updated on 2026-07-17 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM:

🔗 SHA sum: 10a6c638963bf9841d66d3ec6c3e1541 | Updated: 2026-07-13 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32

Setting up this model locally is incredibly fast if you use the native CMD prompt. Make sure to follow the

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

For the fastest local setup of this model, enabling Windows Features is best. Kindly follow the on-screen instructions below. The