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This repository contains notebooks and resources related to the Software Development Group Project (SDGP) machine learning component. Specifically, it includes two notebooks used for creating a dataset and fine-tuning a Mistral-7B-v0.1-Instruct model.

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sdgp-ml

Welcome to the sdgp-ml repository!

This repository contains notebooks and resources related to the Software Development Group Project (SDGP) machine learning component. Specifically, it includes two notebooks used for creating a dataset and fine-tuning a Mistral-7B-v0.1-Instruct model. Additionally, the repository houses the dataset utilized in fine-tuning the model.

Requirements

To run the fine-tuning notebook successfully, ensure that your machine meets the following requirements:

  • At least 24 GB VRAM
  • Latest NVIDIA drivers installed
  • CUDA version 12.1 or higher

Fine-Tuned Model

We've fine-tuned the Mistral-7B-v0.1-Instruct model using our dataset. You can access the fine-tuned model through this link.

Disclaimer

Disclaimer: This project is solely for educational purposes and research within the Semantic Digital Governance Project.

References and Resources

To further explore related topics and resources, you may find the following links useful:

Feel free to explore these references and the code.

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This repository contains notebooks and resources related to the Software Development Group Project (SDGP) machine learning component. Specifically, it includes two notebooks used for creating a dataset and fine-tuning a Mistral-7B-v0.1-Instruct model.

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