BrokenSoul
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base_model: unsloth/llama-3.2-3b-instruct-bnb-4bit
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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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- trl
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- sft
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# Uploaded model
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- **Developed by:** BrokenSoul
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-bnb-4bit
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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# Uploaded model
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- **Developed by:** BrokenSoul
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-bnb-4bit
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## Dataset
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The dataset used was one made by me, [Conversational Cancer Lung Detection Dataset](https://huggingface.co/datasets/BrokenSoul/Conversational-Cancer-Lung-Detection) is a conversationally structured dataset derived from the original [Lung Cancer Detection dataset by Jillani Soft Tech on Kaggle](https://www.kaggle.com/datasets/jillanisofttech/lung-cancer-detection). It has been transformed to simulate medical records in a conversational format, enabling AI applications to interact in a question-answer style format about lung cancer detection.
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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