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| [**Setup**](#environment-setup)
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| [**Quick Start**](#quick-start)
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This is the official PyTorch model implementation of [Learning to (Learn at Test Time): RNNs with Expressive Hidden States]().
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We do not recommend training with this codebase, because it is written in pure PyTorch without any systems optimization, so training will be slow, especially when the per-device batch size is small.
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This is the official PyTorch model implementation of [Learning to (Learn at Test Time): RNNs with Expressive Hidden States](https://arxiv.org/abs/2407.04620).
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We **do not recommend training** with this codebase, because it is written in pure PyTorch without any systems optimization, so training will be slow, especially when the per-device batch size is small.
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For training code, or to replicate results from our paper, please view our [JAX codebase](https://github.com/test-time-training/ttt-lm-jax).
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## Abstract

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