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+ # Latent Step Stage 1.5 GSM8K Model
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+ This repository contains a model trained for the Latent Step project, specifically for GSM8K math reasoning. The model consists of an encoder and decoder pair (stage 1.5).
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+ ## Model Details
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+ - **Model Type**: GPT-2 based architecture
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+ - **Task**: Mathematical reasoning (GSM8K dataset)
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+ - **Training**: Trained as part of the Latent Step methodology
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+ - **Components**:
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+ - Encoder (for encoding problems)
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+ - Decoder (for decoding solutions)
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+
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+ ## Usage
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+ This model is designed to be used with the Latent Step framework for mathematical reasoning.
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+ ## Citation
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+ If you use this model, please cite the original Latent Step paper.
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+ ## Installation
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+ ```bash
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+ conda env create -f env.yaml
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+ conda activate latent
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+ ```
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+ Simply run:
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+ ```