Ollama

📡 Hash Check: f4c0585a0c7a3c7e5a45d4f680625b9d | 📅 Last Update: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: […]

🖹 HASH-SUM: 2ed7d29f254e85737f0bc6f187446354 | 📅 Updated on: 2026-07-17 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM:

🛠 Hash code: 015c2a212bcea40b0c3360c27e73bf7e — Last modification: 2026-07-13 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: required:

🧾 Hash-sum — bd2368a6f999e874825a1dcf98489ec5 • 🗓 Updated on: 2026-07-12 Verify Processor: high single-core performance needed for token latency RAM: high-speed

🛡️ Checksum: 280369a5b534a9d399c109e93ebcddcf — ⏰ Updated on: 2026-07-16 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required

📡 Hash Check: 3bf26aa31e62a37606602c7bbb310a38 | 📅 Last Update: 2026-07-11 Verify Processor: high single-core performance needed for token latency RAM: fast

📦 Hash-sum → 9e86d91246d1d8d0753bd54a58e4a424 | 📌 Updated on 2026-07-11 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM:

📦 Hash-sum → c1a40508b01e2960b1a8d98e40151539 | 📌 Updated on 2026-07-15 Verify Processor: high single-core performance needed for token latency RAM: high-speed

To install this model locally in the shortest time, opt for a direct curl execution. Make sure you implement the

Deploying this model locally is quickest when done via a simple curl command. Check out the detailed setup guide below