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The most efficient approach for a local installation is leveraging Docker containers. Refer to the action plan below to initialize the model. The tool automatically synchronizes and downloads the model database. The installer will automatically analyze your hardware and select the optimal configuration. 🔐 Hash sum: 227e9ab70603fba3a5631973f4e61b6c | 📅 Last update: 2026-07-10VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 80 GB NVMe SSD required for fast model weights…