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README.md
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This model is continually pre-trained from [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) with the structure proposed in [MemoryLLM](https://arxiv.org/abs/2402.04624).
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To use the model, please use the following code:
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```
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This model is continually pre-trained from [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) with the structure proposed in [MemoryLLM](https://arxiv.org/abs/2402.04624).
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We equip Llama-3 with 12800 memory tokens in each layer, leading to a memory pool of 1.67B parameters.
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To use the model, please use the following code:
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```
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