ericpolewski/AIRIC-The-Mistral

ericpolewski/AIRIC-The-Mistral: A Conversational Assistant

AIRIC-The-Mistral is a 7 billion parameter instruction-tuned model built upon the Mistral-v0.1 architecture. Developed by ericpolewski, this model distinguishes itself through its unique training regimen, incorporating a custom "AIRIC" dataset alongside OpenOrca data. The primary intent behind its creation was to develop a conversational robot and assistant capable of engaging in natural dialogue.

Key Characteristics

• Base Model: Mistral-v0.1, a powerful and efficient foundation.
• Training Data: A blend of the custom AIRIC dataset and OpenOrca data, enhancing its conversational abilities and general utility.
• Instruction Format: Trained using the Alpaca instruction format, making it responsive to direct commands and queries.
• Conversational Focus: Specifically designed to generate social and personalized responses, capable of fabricating scenarios as if it has a "life" when prompted appropriately.
• Parameter Count: 7 billion parameters, offering a balance between performance and resource efficiency.
• Context Length: Supports an 8192-token context window.

Ideal Use Cases

This model is particularly well-suited for applications requiring engaging and personalized conversational AI. It can serve as:

• Interactive Chatbots: For creating chatbots that can hold more dynamic and less generic conversations.
• Personal Assistants: Capable of providing assistant-like functions with a more social interaction style.
• Creative Dialogue Generation: For scenarios where the AI needs to invent details or engage in imaginative exchanges.

For optimal social results, setting top_p to 0.98 is recommended. Quantized versions (5-bit and 8-bit exl2) are also available for more efficient deployment.