sssdddwd/AI_Governance_Fine_Tuned_mistral_7B_LLM_json

Mistral-7B-Instruct Fine-Tuned Model

Model Overview

This is a fine-tuned version of Mistral-7B-Instruct-v0.1, optimized using QLoRA on custom dataset extracted from various AI governance and regulatory documents. The fine-tuning process enables the model to better understand and generate responses based on AI compliance, governance, and policy-related queries.

Model Details

• Base Model: Mistral-7B-Instruct-v0.1
• Fine-Tuning Technique: QLoRA (Quantized Low-Rank Adaptation)
• Dataset: Extracted from AI regulatory PDFs
• Training Framework: Hugging Face Transformers
• Optimization: 4-bit quantization for efficient training
• Use Case: AI policy Q&A, regulatory compliance assistance

How to Use

Install Dependencies

pip install torch transformers accelerate peft bitsandbytes

Load the Fine-Tuned Model in a Pipeline

from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer

# Load Model and Tokenizer
model_path = "sssdddwd/AI_Governance_Fine_Tuned_mistral_7B_LLM_json"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)

# Create Pipeline
qa_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)

# Example Query
query = "What does the EU AI Act say about high-risk AI systems?"
response = qa_pipeline(query, max_length=512, do_sample=True, temperature=0.7)
print(response[0]["generated_text"])

Applications

• AI Compliance Chatbot
• AI Governance Research Assistant
• Policy-based AI Decision Support

Training Details

• Epochs: 3
• Batch Size: 1 (QLoRA optimized)
• Gradient Accumulation: 8
• Learning Rate: 2e-5

Model Limitations

• Not a Legal Advisor: The model provides AI policy insights but should not be used as a legal authority.
• Knowledge Cutoff: The model is fine-tuned on static datasets; it may not have real-time policy updates.

Future Work

• Integrating real-time AI policy updates
• Expanding dataset to include more AI regulations globally
• Fine-tuning on broader AI ethics discussions

Citation

If you use this model, please cite:

@misc{mistral7b-finetuned,
  author = {Your Name},
  title = {Fine-Tuned Mistral-7B for AI Policy Q&A},
  year = {2024},
  howpublished = {https://huggingface.co/your_username/mistral-finetuned}
}

Contact

For inquiries or collaborations, reach out via GitHub or Hugging Face.