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README.md
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For more info see our [End-to-end development service for custom LLMs and AI systems](https://gradient.ai/development-lab)
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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/655bb613e8a8971e89944f3e/gb6Z7nMQR5WoLUsW35CIh.png)
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For more info see our [End-to-end development service for custom LLMs and AI systems](https://gradient.ai/development-lab)
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[Join our Discord](https://discord.com/invite/2QVy2qt2mf)
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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/655bb613e8a8971e89944f3e/gb6Z7nMQR5WoLUsW35CIh.png)
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