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Launch DA3METRIC-LARGE Locally via Ollama 2 Uncensored Edition Full Method

Launch DA3METRIC-LARGE Locally via Ollama 2 Uncensored Edition Full Method

Running this model locally is fastest when deployed through a PowerShell script.

Use the instructions provided below to complete the setup.

The tool automatically synchronizes and downloads the model database.

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

🧾 Hash-sum — 54ebf0aa90feb64cc5c3aa3f2dc3c7c7 • 🗓 Updated on: 2026-07-04



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Storage: extra room for future model updates and datasets
  • 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.

Parameter Count10.7 trillion
Context Length8K tokens