How to Autostart DA3METRIC-LARGE Using Pinokio


How to Autostart DA3METRIC-LARGE Using Pinokio

To install this model locally in the shortest time, opt for a direct curl execution.

Follow the guidelines below to continue.

The setup auto-streams the model assets (expect a multi-GB download).

Your resources are automatically evaluated to lock in the premium configuration.

🧾 Hash-sum — d40904443218dc4766e34c0d900cc189 • 🗓 Updated on: 2026-06-25



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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