Model Overview

Korabbit/Llama-2-7b-chat-hf-afr-100step-flan-v2 is a 7 billion parameter language model built upon the Llama-2-7b-chat architecture. This model represents an experimental application of Korabbit's "AFR training" methodology, aiming to enhance response quality and safety.

Key Capabilities

• Safety-Oriented Responses: Designed to produce helpful, respectful, and honest answers, strictly avoiding harmful, unethical, racist, sexist, toxic, dangerous, or illegal content.
• Socially Unbiased Output: Ensures responses are socially unbiased and positive in nature.
• Coherence Checking: Explains when a question does not make sense or is not factually coherent, rather than attempting to answer incorrectly.
• Knowledge Honesty: Refrains from sharing false information if the answer to a question is unknown.
• Code Generation Example: Demonstrates the ability to generate functional code, such as a Python implementation of binary search, complete with explanations.

Good For

• Safe AI Assistant Development: Ideal for applications requiring a strong emphasis on content safety and ethical guidelines.
• Educational Tools: Can be used in scenarios where clear, correct, and non-hallucinatory explanations are crucial.
• Prototyping with Llama-2 Base: Suitable for developers exploring the impact of specific training approaches on Llama-2's chat capabilities, particularly regarding safety and factual integrity.