Update README.md

README.md

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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.
 
+Other Homework Solver Models include [Science_Homework_Solver_Llama318B](https://huggingface.co/justsomerandomdude264/Science_Homework_Solver_Llama318B) and [SocialScience_Homework_Solver_Llama318B](https://huggingface.co/justsomerandomdude264/SocialScience_Homework_Solver_Llama318B)
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 ## Model Details
 
 - **Base Model**: Llama 3.1 (8 Billion parameters)
@@ -27,6 +29,7 @@ This is a Large Language Model (LLM) fine-tuned to solve math problems with deta
 - **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (16GB VRAM), 12GB RAM
 - **Dataset Used**: TIGER-Lab/MathInstruct (Yue, X., Qu, X., Zhang, G., Fu, Y., Huang, W., Sun, H., Su, Y., & Chen, W. (2023). MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. *arXiv preprint arXiv:2309.05653*.
 ), 560 selected math problems and solutions
+- **Git Repo**: The git repo on my github account is [justsomerandomdude264/Homework_Solver_LLM](https://github.com/justsomerandomdude264/Homework_Solver_LLM)
 
 ## Capabilities