Install DA3METRIC-LARGE with 1M Context Full Method

The most rapid route to a local installation of this model is through WSL2.

Please follow the instructions listed below to get started.

The client handles the setup, pulling gigabytes of data automatically.

To save you time, the system will automatically determine efficient resource allocation.

💾 File hash: 9000b25f87d81f937a641efb76071cc8 (Update date: 2026-06-25) Verify Processor: high single-core performance needed for token latency RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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