Embedders

The most rapid route to a local installation of this model is through Docker. Use the instructions provided below to complete the setup. The installer automatically pulls the model (could be multiple GBs). The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile. 🔍 Hash-sum: 2d6379d2e6ea33df587d967e09256eae | 🕓 Last […]

To install this model locally in the shortest time, opt for Docker. Follow the guidelines below to continue. The setup auto-streams the model assets (expect a multi-GB download). During setup, the script automatically determines and applies the best settings tailored to your machine. 🛠 Hash code: 261cf80a4295a24d3dd67a42a446bcb9 — Last modification: 2026-06-28 Verify Processor: 6-core 3.5

The fastest way to get this model running locally is via Docker. Simply follow the directions outlined below. > The system automatically triggers a cloud download for all heavy weights. You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you. 🗂 Hash: e405584c4b5300830e230fdd0b48e9ca • Last Updated: 2026-06-26

The most rapid route to a local installation of this model is through Docker. Follow the step-by-step instructions below. After that, launch the environment using docker-compose. 🔍 Hash-sum: 736e1cc80abd4da961e20fc7aac736bc | 🕓 Last update: 2026-06-27 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 48 GB needed to prevent memory swapping to disk