Model Overview

Korabbit/Llama-2-7b-chat-hf-afr-200step-flan is a 7 billion parameter language model built upon the Llama-2-7b-chat base architecture. Developed by Korabbit, this model utilizes a proprietary "AFR training" methodology, fine-tuned over 200 steps, to enhance its conversational capabilities.

Key Capabilities

• Chat-based Assistance: Designed to function as a helpful, respectful, and honest assistant.
• Safety and Bias Mitigation: Explicitly trained to avoid harmful, unethical, racist, sexist, toxic, dangerous, or illegal content, ensuring socially unbiased and positive responses.
• Coherent Responses: Instructed to explain when a question doesn't make sense or is not factually coherent, rather than providing incorrect information.
• Code Generation Example: Demonstrates proficiency in generating functional code, as shown by its ability to implement a binary search algorithm in Python.

Good For

• General Conversational AI: Suitable for applications requiring a polite and informative chatbot.
• Safe Content Generation: Ideal for use cases where content safety and ethical guidelines are paramount.
• Educational Tools: Can assist in explaining concepts or providing code examples, as illustrated by the binary search implementation.