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The fastest method for installing this model locally is by using Docker. Make sure to follow the instructions below. The loader auto-caches the model archive (several GBs included). You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you. 💾 File hash: fc3251b74c70471809652a4c9e982cc4 (Update date: 2026-06-26) Verify Processor:

Docker offers the quickest path to setting up this model locally. Follow the guidelines below to continue. The client handles the setup, pulling gigabytes of data automatically. The automated installation script takes care of everything by tailoring the setup perfectly to your system specs. 📦 Hash-sum → af0fbe3b93e6b25b646736edd6ce56f5 | 📌 Updated on 2026-06-22 Verify Processor:

For the fastest local setup of this model, Docker is the best choice. Just follow the guidelines provided below. The system automatically triggers a cloud download for all heavy weights. The deployment tool scans your environment and automatically chooses the ideal parameters for your OS. 📘 Build Hash: 0b240d92688254c4cb89cc69237053d9 • 🗓 2026-06-23 Verify CPU: multi-threading

The fastest way to get this model running locally is via Docker. Make sure to follow the instructions below. Then, execute the docker-compose up command to launch the model. 🔧 Digest: 0d7607ecd4d468339f828cfbc4a17146 • 🕒 Updated: 2026-06-24 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Disk