Running this model locally is fastest when deployed through Docker. Use the instructions provided below to complete the setup. Then, simply start the container with the provided Docker command. 🔍 Hash-sum: a716a8bc5de495d67e1eba88931d54a2 | 🕓 Last update: 2026-06-26 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Storage:100 GB […]
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