How to Setup DA3METRIC-LARGE No-Internet Version

If you need a near-instant local setup, just fetch files via a basic curl request.

Check out the detailed setup guide below to begin.

Everything happens automatically, including the heavy cloud asset download.

There is no manual tuning required; the builder deploys the best matching configuration.

💾 File hash: dd8cb7109fe51d836044ac1a47b04dae (Update date: 2026-06-30)



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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.

Parameter Count 10.7 trillion
Context Length 8K tokens