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  This is a Large Language Model (LLM) fine-tuned to solve math problems with detailed, step-by-step explanations and accurate answers. The base model used is Llama 3.1 with 8 billion parameters, which has been quantized to 4-bit using QLoRA (Quantized Low-Rank Adaptation) and PEFT (Parameter-Efficient Fine-Tuning) through the Unsloth framework.
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  ## Model Details
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  - **Base Model**: Llama 3.1 (8 Billion parameters)
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  - **Training Framework**: Unsloth, optimized for efficient fine-tuning of large language models
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  - **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (16GB VRAM), 12GB RAM
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  - **Dataset Used**: justsomerandomdude264/ScienceQA-Dataset, 560 selected rows
 
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  ## Capabilities
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  This is a Large Language Model (LLM) fine-tuned to solve math problems with detailed, step-by-step explanations and accurate answers. The base model used is Llama 3.1 with 8 billion parameters, which has been quantized to 4-bit using QLoRA (Quantized Low-Rank Adaptation) and PEFT (Parameter-Efficient Fine-Tuning) through the Unsloth framework.
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+ Other Homework Solver Models include [Math_Homework_Solver_Llama318B](https://huggingface.co/justsomerandomdude264/Math_Homework_Solver_Llama318B) and [SocialScience_Homework_Solver_Llama318B](https://huggingface.co/justsomerandomdude264/SocialScience_Homework_Solver_Llama318B)
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  ## Model Details
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  - **Base Model**: Llama 3.1 (8 Billion parameters)
 
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  - **Training Framework**: Unsloth, optimized for efficient fine-tuning of large language models
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  - **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (16GB VRAM), 12GB RAM
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  - **Dataset Used**: justsomerandomdude264/ScienceQA-Dataset, 560 selected rows
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+ - **Git Repo**: The git repo on my github account is [justsomerandomdude264/Homework_Solver_LLM](https://github.com/justsomerandomdude264/Homework_Solver_LLM)
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  ## Capabilities
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