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README.md

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-Gemma Fine-Tuned Model
+---
+---
+## Gemma Fine-Tuned Model
+
 This repository contains a fine-tuned version of the Gemma model, which is part of the GemMoE (Gemma Mixture of Experts) family of models. For more information about GemMoE, please refer to the official documentation [https://huggingface.co/Crystalcareai/GemMoE-Beta-1].
 
-Model Details
-Dataset: This model was fine-tuned on 3 epochs of the Crystalcareai/alpaca-gpt4-COT dataset.
-Architecture: The fine-tuned model inherits the lean and efficient architecture of the base Gemma model, making it suitable for a wide range of applications with limited computational resources.
-Usage
-You can use this fine-tuned model like any other HuggingFace model. Simply load it using the from_pretrained method:
+## Model Details
+
+- **Dataset**: This model was fine-tuned on 3 epochs of the Crystalcareai/alpaca-gpt4-COT dataset.
+- **Architecture**: The fine-tuned model inherits the lean and efficient architecture of the base Gemma model, making it suitable for a wide range of applications with limited computational resources.
+
+## Usage
+
+You can use this fine-tuned model like any other HuggingFace model. Simply load it using the `from_pretrained` method:
+
 
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("huggingface-Crystalcareai/Gemma-COT-GPT4) tokenizer = AutoTokenizer.from_pretrained("huggingface-Crystalcareai/Gemma-COT-GPT4")
+model = AutoModelForCausalLM.from_pretrained("huggingface-Crystalcareai/Gemma-COT-GPT4")
+tokenizer = AutoTokenizer.from_pretrained("huggingface-Crystalcareai/Gemma-COT-GPT4")