Finetuned from model : llama-3.2-3b-instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
AlphaAI-Chatty-INT1
Overview
AlphaAI-Chatty-INT1 is a fine-tuned LLaMA 3B Small model optimized for chatty and engaging conversations. This model has been trained on a proprietary conversational dataset, making it well-suited for local deployments that require a natural, interactive dialogue experience.
The model is available in GGUF format and has been quantized to different levels to support various hardware configurations.
Conversational AI – Ideal for chatbots, virtual assistants, and customer support.
Local AI Deployments – Runs efficiently on local machines without requiring cloud-based inference.
Research & Experimentation – Suitable for studying conversational AI and fine-tuning on domain-specific datasets.
Model Performance
The model has been optimized for chat-style interactions, ensuring:
Engaging and context-aware responses
Efficient performance on consumer hardware
Balanced coherence and creativity in conversations
Limitations & Biases
This model, like any AI system, may have biases from the training data. It is recommended to use it responsibly and fine-tune further if needed for specific applications.
License
This model is released under a permissible license. Please check the Hugging Face repository for more details.
Acknowledgments
Special thanks to the Unsloth team for providing an optimized training pipeline for LLaMA models.
