Model Overview

Korabbit/Llama-2-7b-chat-hf-afr-100step-flan is a 7 billion parameter language model built upon the Llama-2-7b-chat foundation. Developed by Korabbit, this model serves as a testbed for the "AFR training" methodology, aiming to produce a highly helpful, respectful, and honest assistant.

Key Capabilities

• Safe and Ethical Responses: Designed to avoid harmful, unethical, racist, sexist, toxic, dangerous, or illegal content.
• Socially Unbiased: Ensures responses are socially unbiased and positive in nature.
• Coherence Handling: Explains why a question might not make sense or be factually incoherent, rather than attempting to answer incorrectly.
• Knowledge Honesty: Refrains from sharing false information if the answer to a question is unknown.
• Instruction Following: Demonstrates the ability to follow instructions, as shown by its implementation of binary search in Python.

Good For

• Applications requiring a safe and responsible AI assistant.
• Use cases where ethical guidelines and unbiased responses are paramount.
• Scenarios needing a model that can identify and gracefully handle incoherent or unanswerable queries.
• Developers interested in exploring models trained with the "AFR training" approach for enhanced safety and helpfulness.