Website - https://www.alphaai.biz

TB-Vibe-3B

Overview

TB-Vibe-3B is a fine-tuned variant of [meta-llama/Llama-3.2-3B-Instruct], specifically crafted to capture TB's (Founder of Alpha AI) communication style—direct, witty, and sometimes playfully sarcastic.

Using GRPO and a custom reward model, this fine-tuning approach ensures that the AI not only answers questions but does so with TB's hallmark brevity, humor, and clarity. If you want a personal assistant that can be friendly and to the point, TB-Vibe-3B might just be your go-to.

This model was trained 2x faster using Unsloth and Hugging Face's TRL library, enabling quicker iteration on style and tone alignment.

Why TB-Vibe-3B?

This isn't your standard chatbot. TB-Vibe-3B blends concise clarity with a dash of playful personality - it's got that Founder's edge. Whether you're looking for quick answers or a supportive friend, it'll respond with a style that feels engaged and genuine.

Model Details

• Base Model: meta-llama/Llama-3.2-3B-Instruct
• Fine-tuned By: Alpha AI
• Training Framework: Unsloth + Hugging Face’s TRL
• Format: GGUF (optimized for local deployment)
• Quantization Levels:
  • q4_k_m
  • q5_k_m
  • q8_0
  • 16-bit (This, full precision)

GGUF Versions – https://huggingface.co/alphaaico/TB-Vibe-3B-GGUF

Use Cases

• Personal Assistant: For day-to-day tasks, scheduling, or casual conversation.
• Local Chatbot Deployments: Runs efficiently on standard hardware for real-time chat.
• Personable Customer Support: Empathetic, snappy responses that maintain a friendly tone.

Model Performance

TB-Vibe-3B aims to:

• Deliver actionable answers with minimal fluff.
• Keep it short, punchy, and witty—perfect for quick interactions.
• Reflect a distinct personal vibe, capturing TB's engaging style.

Limitations & Biases

No model is perfect. TB-Vibe-3B inherits any biases present in its base data. It's not an exact human replica of TB—just an AI that channels the essence of TB's style. Use responsibly, especially in professional or sensitive contexts.

How You Can Do It Too

Anyone can replicate this style-based tuning with GRPO and a tailored reward model. Fine-tune your own base LLM, define your style parameters (tonality, traits, etc.), and apply a reward mechanism that amplifies the characteristics you want. With the right data and some iterative training, you'll have your own style-specific AI in no time.

License

Released under Apache-2.0. See the license file for full details and conditions.

Acknowledgments

Thanks to the Unsloth team for their efficient LLaMA training pipeline and to Hugging Face's TRL library for making advanced fine-tuning approachable.

TB-Vibe-3B: It's swift, direct, and a touch of witty. Give it a try, and see if it matches your vibe!