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@@ -9,7 +9,7 @@ license: llama3
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  <a href="https://www.gradient.ai" target="_blank"><img src="https://cdn-uploads.huggingface.co/production/uploads/655bb613e8a8971e89944f3e/TSa3V8YpoVagnTYgxiLaO.png" width="200"/></a>
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- # Llama-3 70B Gradient Instruct 1048K
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  Gradient incorporates your data to deploy autonomous assistants that power critical operations across your business. If you're looking to build custom AI models or agents, email us a message contact@gradient.ai.
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  This model extends LLama-3 70B's context length from 8k to > 1048K, developed by Gradient, sponsored by compute from [Crusoe Energy](https://huggingface.co/crusoeai). It demonstrates that SOTA LLMs can learn to operate on long context with minimal training by appropriately adjusting RoPE theta. We trained on 34M tokens for this stage, and ~430M tokens total for all stages, which is < 0.003% of Llama-3's original pre-training data.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/644fac0ce1d7a97f3b653ab1/GLrUQLqji6qFu_pxpBW7O.png)
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  **Approach:**
 
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  <a href="https://www.gradient.ai" target="_blank"><img src="https://cdn-uploads.huggingface.co/production/uploads/655bb613e8a8971e89944f3e/TSa3V8YpoVagnTYgxiLaO.png" width="200"/></a>
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+ # Llama-3 70B Instruct Gradient 1048K
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  Gradient incorporates your data to deploy autonomous assistants that power critical operations across your business. If you're looking to build custom AI models or agents, email us a message contact@gradient.ai.
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  This model extends LLama-3 70B's context length from 8k to > 1048K, developed by Gradient, sponsored by compute from [Crusoe Energy](https://huggingface.co/crusoeai). It demonstrates that SOTA LLMs can learn to operate on long context with minimal training by appropriately adjusting RoPE theta. We trained on 34M tokens for this stage, and ~430M tokens total for all stages, which is < 0.003% of Llama-3's original pre-training data.
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/644fac0ce1d7a97f3b653ab1/GLrUQLqji6qFu_pxpBW7O.png)
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  **Approach:**