AlphaAI-Chatty-INT1-16bit

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Website - https://www.alphaai.biz

Uploaded model

• Developed by: alphaaico
• License: apache-2.0
• 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.

Model Details

• Base Model: LLaMA 3B Small
• Fine-tuned By: Alpha AI
• Training Framework: Unsloth

Quantization Levels Available:

• q4_k_m
• q5_k_m
• q8_0
• 16-bit (full precision) https://huggingface.co/alphaaico/AlphaAI-Chatty-INT1-16bit

Format: GGUF (Optimized for local deployments)

Use Cases:

• 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.