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Bittensor Subnet Completes Largest-Ever Scale LLM Pretraining, DeAI Narrative Regression

2026.03.16 14:06:43

On March 16, official sources confirmed that Bittensor’s Templar Subnet (SN3) completed the largest decentralized large language model (LLM) pre-training in history on March 10. The model, **Covenant-72B**, boasts 720 billion parameters. It was pre-trained by the Templar team on Bittensor Subnet 3, using only public internet data (no centralized data centers required). Covenant-72B scored 67.1 on the zero-shot MMLU (Massive Multitask Language Understanding) benchmark—outperforming centralized baselines like LLaMA-2-70B and LLM360 K2 under identical test conditions. It is the largest fully permissionless collaborative LLM to date, with over 70 distinct nodes contributing computing power throughout the process. The team has released all model weights and checkpoints under the Apache License. The news appears to have fueled gains for Bittensor (TAO) and its subnet token: - TAO is up 54.8% over the past two weeks. - The Templar subnet token (τemplar) has surged 194% in the last seven days, now trading at $19.3.
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