<div id="readability-page-1"><div><p><span></span></p><ul><li><span>Bittensor (TAOBUSD) served as the native token for a decentralized AI training network that trained a 72B‑parameter model, moving from experimental setups to an operational TAO-based infrastructure.</span><span>1</span></li><li><span>Bittensor (TAOBUSD): Subnet 3 launched Covenant-72B, a 72B-parameter model trained across 70+ nodes. It scored 67.1 on MMLU and compares to Llama 2 70B in reported performance.</span><span>2</span></li></ul></div></div>

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<p>Bittensor (TAOBUSD) has launched Covenant-72B, a 72B-parameter model trained on a decentralized AI network across 70+ nodes. This model achieved a score of 67.1 on the MMLU benchmark, positioning it competitively against the Llama 2 70B model. The transition from experimental setups to a fully operational TAO-based infrastructure marks a significant advancement for Bittensor.</p>

- Bittensor (TAOBUSD) is the native token for a decentralized AI training network that has transitioned to an operational infrastructure with a 72B-parameter model.  
- The recently launched Covenant-72B model was trained across more than 70 nodes and achieved a score of 67.1 on the MMLU benchmark.  
- This performance is comparable to the 70B parameter Llama 2 model, indicating the advancements in decentralized AI training capabilities.

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Key facts: Bittensor TAO Powers Covenant‑72B 72B Model; 67.1 MMLU