llama3.2-3b-rino-huberman-finetuned-model

Welcome to the llama3.2-3b-rino-huberman-finetuned-model! 🚀 This is a specialized fine-tuned version of Meta's Llama 3.2 3B model, optimized for [specific tasks or domains, e.g., health, fitness, and neuroscience discussions inspired by Andrew Huberman and Stan "Rhino" Efferding]. Whether you're building chatbots, generating content, or exploring AI in wellness, this model delivers insightful, engaging responses with a focus on [key themes like vitality, strength training, and scientific insights].

🌟 Why This Model?

• Efficient & Lightweight: Based on the compact 3B parameter Llama 3.2, it runs smoothly on consumer hardware.
• Domain-Specific Expertise: Fine-tuned on [relevant datasets, e.g., transcripts from Huberman Lab podcasts featuring Stan Efferding], making it ideal for [health optimization, nutrition advice, or motivational content].
• Appealing Outputs: Generates clear, science-backed responses that are easy to read and apply in real life.
• Open Source Friendly: Ready for integration into your projects with minimal setup.

🔍 Model Overview

• Base Model: Meta Llama 3.2 3B
• Fine-Tuning Method: full fine-tuning using datasets like Huberman Lab episodes
• Parameters: 3B
• Languages: Primarily English, with potential multilingual capabilities from the base model.
• Intended Use: Generating educational content on fitness, sleep, focus, and performance; ideal for apps, bots, or research in neuroscience and health.

🛠️ Usage

Get started quickly with the Hugging Face Transformers library. Here's a simple example to generate text:

from transformers import pipeline

# Load the model
generator = pipeline('text-generation', model='vincenzopalazzo/llama3.2-3b-rino-huberman-finetuned-model')

# Generate a response
prompt = "What are the best ways to build strength and improve vitality?"
result = generator(prompt, max_length=200, num_return_sequences=1)
print(result[0]['generated_text'])

Installation

1. Install dependencies: pip install transformers torch
2. Download the model from Hugging Face.
3. Run inference as shown above.

For advanced usage, check out Ollama or vLLM for faster deployment.

📊 Performance & Evaluation

TODO

⚠️ Limitations & Ethical Considerations

TODO

We encourage responsible use and welcome feedback to improve!

📚 Citation

If you use this model in your work, please cite it as:

@misc
{llama3.2-3b-rino-huberman-finetuned-model,
author = {Vincenzo Palazzo},
title = {llama3.2-3b-rino-huberman-finetuned-model},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/vincenzopalazzo/llama3.2-3b-rino-huberman-finetuned-model}
}

📝 License

This model is released under the GNU v 2. See the file for details.

👏 Acknowledgments

• Built on Meta's Llama 3.2.
• Inspired by [Andrew Huberman's podcasts and guests like Stan "Rhino" Efferding].
• Thanks to the Hugging Face community!
• Thank to the Prem AI friends to help me find tune the model

Have questions or suggestions? Open an issue or contribute! Let's make AI healthier together. 💪