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README.md
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Mathlearn model is quantized model based from a quantized gemma2-9b-it model. It is finetuned on 100k samples of Q&A pairs from a custom chain of thought dataset.The model was finetuned for 10 epoch getting a loss close to 1.0 (indicating good performance) and also shown an improvement in step wise problem solving capabilities compared to before finetuning. If prompted effectively, it is able to solve mathematics problems in a step by step approach explaining each step in detail
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[Base_model](https://huggingface.co/unsloth/gemma-2-9b-bnb-4bit)
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Mathlearn model is quantized model based from a quantized gemma2-9b-it model. It is finetuned on 100k samples of Q&A pairs from a custom chain of thought dataset.The model was finetuned for 10 epoch getting a loss close to 1.0 (indicating good performance) and also shown an improvement in step wise problem solving capabilities compared to before finetuning. If prompted effectively, it is able to solve mathematics problems in a step by step approach explaining each step in detail
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## Model Sources
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[Base_model](https://huggingface.co/unsloth/gemma-2-9b-bnb-4bit)
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