If you want the fastest local installation for this model, use Docker.

Refer to the instructions below to proceed.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

🗂 Hash: 4f5d4b56af612108d259c51bd9419595 • Last Updated: 2026-06-28 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Storage:100 GB free space for HuggingFace cache folder GPU: modern architecture (Ada Lovelace / Ampere minimum)

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