Quick Run DA3METRIC-LARGE Locally (No Cloud) One-Click Setup 5-Minute Setup

The fastest way to get this model running locally is via Optional Features.

Make sure to follow the instructions below.

The setup auto-downloads all needed files (several GBs).

During setup, the script automatically determines and applies the best settings.

🔍 Hash-sum: 481a6561f2eb55a0f3ae8d8cfa3bbf08 | 🕓 Last update: 2026-07-04



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: at least 100 GB for multiple local LLM variants
  • 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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