{"id":19251541,"url":"https://github.com/vpgits/sdgp-ml","last_synced_at":"2026-05-06T00:32:09.752Z","repository":{"id":229721878,"uuid":"752551494","full_name":"vpgits/sdgp-ml","owner":"vpgits","description":"This repository contains notebooks and resources related to the Software Development Group Project (SDGP) machine learning component. 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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.\n\n## Requirements\n\nTo run the fine-tuning notebook successfully, ensure that your machine meets the following requirements:\n\n- At least 24 GB VRAM\n- Latest NVIDIA drivers installed\n- CUDA version 12.1 or higher\n\n## Fine-Tuned Model\n\nWe've fine-tuned the Mistral-7B-v0.1-Instruct model using our dataset. You can access the fine-tuned model through [this link](https://huggingface.co/vpgits/Mistral-7B-v0.1-qagen-v2.1-AWQ).\n\n## Disclaimer\n\n**Disclaimer:** This project is solely for educational purposes and research within the Semantic Digital Governance Project.\n\n## References and Resources\n\nTo further explore related topics and resources, you may find the following links useful:\n\n- [Tuning-the-Finetuning](https://github.com/avisoori-databricks/Tuning-the-Finetuning)\n- [Mistral Mastery: Fine-Tuning \u0026 Fast Inference Guide](https://medium.com/@parikshitsaikia1619/mistral-mastery-fine-tuning-fast-inference-guide-62e163198b06)\n- [4-bit Transformers with Hugging Face](https://huggingface.co/blog/4bit-transformers-bitsandbytes)\n- [Transformers for Legal Language](https://huggingface.co/docs/trl/en/sft_trainer)\n- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ)\n\nFeel free to explore these references and the code.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvpgits%2Fsdgp-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvpgits%2Fsdgp-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvpgits%2Fsdgp-ml/lists"}