Quick Run DA3METRIC-LARGE Using Pinokio with Native FP4

Deploying this model locally is quickest when done via a simple curl command.

Refer to the instructions below to proceed.

1-click setup: the app automatically fetches the large weight files.

The automated script takes care of everything, tailoring the setup to your specs.

🔐 Hash sum: 47a0d49374755eae2826b5e5076c3252 | 📅 Last update: 2026-06-28 Verify Processor: 6-core 3.5 GHz minimum required RAM: 48 GB needed to prevent memory swapping to disk 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.

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