The fastest method for installing this model locally is by using Docker.
Follow the sequence of steps detailed below.
During setup, the script automatically determines and applies the best settings tailored to your machine.
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 |
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