Plugins

📦 Hash-sum → 58f4c370c5bbd9e8739bf21966080e4e | 📌 Updated on 2026-07-16 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB […]

🧾 Hash-sum — 59c2b3ae652390de9c5fd3a6894414aa • 🗓 Updated on: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B

📎 HASH: b7ca586fb5f3a0c90d44338b349ef19e | Updated: 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for

📤 Release Hash: 05c2fdd51c6496cda7b4f356f2081ada • 📅 Date: 2026-07-17 Verify Processor: next-gen chip for heavy context processing RAM: at least 32

🔧 Digest: e24913ddec1635c4bde8140aa0da2f74 • 🕒 Updated: 2026-07-17 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: required: 16

🛠 Hash code: 9addfad6dcfcf7982e18f041cd9e4268 — Last modification: 2026-07-12 Verify Processor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred

📤 Release Hash: 1fe93042c35b164cba760819844a76e2 • 📅 Date: 2026-07-15 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: fast

If you want the fastest local installation for this model, use standard pip packages. Refer to the instructions below to

Deploying locally takes the least amount of time when executed through native OS tools. Please follow the instructions listed below

Deploying this model locally is quickest when done via a simple curl command. Carefully read and apply the steps described