Update README.md

README.md

@@ -85,4 +85,67 @@ library_name: transformers
 
 This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
+# Mistral Nemo MCQ Question Generator
+
+## Overview
+A fine-tuned Mistral Nemo model specializing in generating multiple-choice questions (MCQs) across various domains.
+
+## Model Details
+- **Base Model**: Mistral Nemo Base 2407
+- **Fine-Tuning**: LoRA with 4-bit quantization
+- **Training Dataset**: SciQ
+- **Primary Task**: Automated MCQ Generation
+
+## Key Features
+- Scientific domain question generation
+- Supports multiple context types
+- High-quality, contextually relevant options
+- Configurable question complexity
+
+## Installation
+```python
+pip install transformers unsloth
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("path/to/model")
+tokenizer = AutoTokenizer.from_pretrained("path/to/model")
+```
+
+## Usage Example
+```python
+def generate_mcq(context, instruction):
+    prompt = f"""
+    Instruction: {instruction}
+    Context: {context}
+    """
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=128)
+    return tokenizer.decode(outputs[0])
+
+# Example application
+context = "Photosynthesis converts sunlight into plant energy."
+mcq = generate_mcq(context, "Create a multiple-choice question")
+print(mcq)
+```
+
+## Performance Metrics
+- BERTScore F1: [Placeholder]
+- ROUGE-1 F1: [Placeholder]
+- Generation Accuracy: [Placeholder]
+
+## Limitations
+- Primarily trained on scientific content
+- Requires careful prompt engineering
+- Potential bias in question generation
+
+## Ethical Considerations
+- Intended for educational research
+- Users should verify generated content
+
+## License
+Apache 2.0
+
+## Contributing
+Contributions welcome! Please open issues/PRs on GitHub.
+
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)