The fastest method for installing this model locally is by using Docker. Just follow the guidelines provided below. After that, launch the environment using docker-compose. 🔗 SHA sum: 16abb08303b29a00adde6d3c0fd80d04 | Updated: 2026-06-26 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Disk Space: 80 GB NVMe SSD
