Update README.md

README.md

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 This is a Large Language Model (LLM) fine-tuned to solve sst 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 [Math_Homework_Solver_Llama318B](https://huggingface.co/justsomerandomdude264/Math_Homework_Solver_Llama318B) and [Science_Homework_Solver_Llama318B](https://huggingface.co/justsomerandomdude264/Science_Homework_Solver_Llama318B)
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 ## Model Details
 
 - **Base Model**: Llama 3.1 (8 Billion parameters)
@@ -30,6 +32,7 @@ This is a Large Language Model (LLM) fine-tuned to solve sst problems with detai
 - **Training Framework**: Unsloth, optimized for efficient fine-tuning of large language models
 - **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (16GB VRAM), 12GB RAM
 - **Dataset Used**: Combination of ambrosfitz/10k_history_data_v4, adamo1139/basic_economics_questions_ts_test_1, adamo1139/basic_economics_questions_ts_test_2, adamo1139/basic_economics_questions_ts_test_3, adamo1139/basic_economics_questions_ts_test_4
+- **Git Repo**: The git repo on my github account is [justsomerandomdude264/Homework_Solver_LLM](https://github.com/justsomerandomdude264/Homework_Solver_LLM)
 
 ## Capabilities