If you want the fastest local installation for this model, use Docker. Make sure to follow the instructions below. Then, run the specified Docker command to start the environment. 🔗 SHA sum: 0994ec96c8d7b3a928037bba43a7c816 | Updated: 2026-06-26 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps […]
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