Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Dec 3, 2023License:llama2Architecture:Transformer Open Weights Cold
Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2 is a 7 billion parameter language model based on the Llama-2-7b-chat architecture. This model is a test of the "AFR training" approach, focusing on generating helpful, respectful, and honest assistant responses. It is designed to provide safe and socially unbiased answers, avoiding harmful or unethical content, and is suitable for general conversational AI applications.
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Overview
Korabbit/Llama-2-7b-chat-hf-afr-200step-flan-v2 is a 7 billion parameter language model derived from the Llama-2-7b-chat base model. Its primary characteristic is the application of an "AFR training" approach, which aims to enhance the model's ability to act as a helpful, respectful, and honest assistant.
Key Capabilities
- Safe and Ethical Responses: Designed to avoid generating harmful, unethical, racist, sexist, toxic, dangerous, or illegal content.
- Socially Unbiased: Focuses on providing socially unbiased and positive interactions.
- Honest and Factual: Instructed to explain when a question doesn't make sense or is not factually coherent, and to refrain from sharing false information.
- General Assistance: Capable of understanding and responding to a wide range of instructions, as demonstrated by its ability to implement code (e.g., binary search in Python).
Good For
- Conversational AI: Ideal for applications requiring a polite, safe, and informative chatbot.
- Content Moderation: Its training emphasizes avoiding harmful content, making it suitable for roles where content safety is paramount.
- Educational Tools: Can be used in scenarios where clear, honest, and non-misleading information is required, such as explaining programming concepts.