Deploying this model locally is quickest when done via Docker. Make sure to follow the instructions below. The setup auto-streams the model assets (expect a multi-GB download). Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency. 📡 Hash Check: 8edb0bbc9c807214da3181e957eaa436 | 📅 Last Update: 2026-06-25 Verify Processor: 6-core …
Deploying this model locally is quickest when done via Docker. Follow the guidelines below to continue. The setup auto-downloads all needed files (several GBs). The automated installation script takes care of everything by tailoring the setup perfectly to your system specs. 🔐 Hash sum: fa878a1c9bc5b2c000963f59607cc922 | 📅 Last update: 2026-06-27 Verify Processor: 6-core 3.5 GHz …
The fastest method for installing this model locally is by using Docker. Refer to the instructions below to proceed. 1-click setup: the app automatically fetches the large weight files. During setup, the script automatically determines and applies the best settings tailored to your machine. 📄 Hash Value: 4d5bb03e5294e8bb9511bb8bbaec2dc3 | 📆 Update: 2026-06-22 Verify CPU: AVX2/AVX-512 …
Running this model locally is fastest when deployed through Docker. Just follow the guidelines provided below. 1-click setup: the app automatically fetches the large weight files. The deployment tool scans your environment and automatically chooses the ideal parameters for your OS. 📘 Build Hash: 265529811391cf5f351cdfca1319cda3 • 🗓 2026-06-23 Verify CPU: modern architecture (Zen 3 / …
Running this model locally is fastest when deployed through Docker. Review and follow the instructions below. Then, run the build command to initialize the Docker container. 🛠 Hash code: 483081836e0e9546dcac604039e4dfce — Last modification: 2026-06-27 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space:70 GB free …