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This repository contains the weights for the bGPT model as described in the paper [Beyond Language Models: Byte Models are Digital World Simulators](https://arxiv.org/pdf/%3CARXIV%20PAPER%20ID%3E.pdf).
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bGPT supports generative modelling on any type of data and can perform any task executable on a computer,
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You can check out the [demo page](https://byte-gpt.github.io/), which includes examples generated by the bGPT model.
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This repository contains the weights for the bGPT model as described in the paper [Beyond Language Models: Byte Models are Digital World Simulators](https://arxiv.org/pdf/%3CARXIV%20PAPER%20ID%3E.pdf).
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bGPT supports generative modelling via next byte prediction on any type of data and can perform any task executable on a computer, showcasing the capability to simulate all activities within the digital world, with its potential only limited by computational resources and our imagination.
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You can check out the [demo page](https://byte-gpt.github.io/), which includes examples generated by the bGPT model.
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