Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2
Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2 is a 7 billion parameter Llama-2-chat-based model developed by Korabbit, fine-tuned using an "AFR training" approach. This model is designed for general conversational AI tasks, demonstrating capabilities in generating helpful, respectful, and honest responses. It is particularly suited for applications requiring safe and socially unbiased interactions, as evidenced by its system prompt guidelines.
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Model Overview
Korabbit/Llama-2-7b-chat-hf-afr-300step-flan-v2 is a 7 billion parameter language model built upon the Llama-2-7b-chat architecture. Developed by Korabbit, this model has undergone a specific "AFR training" approach, aiming to enhance its conversational capabilities.
Key Capabilities
- General-purpose conversational AI: Designed to act as a helpful, respectful, and honest assistant.
- Safety and bias mitigation: Explicitly trained to avoid harmful, unethical, racist, sexist, toxic, dangerous, or illegal content, promoting socially unbiased and positive responses.
- Coherent response generation: Instructed to explain when a question does not make sense or is not factually coherent, rather than providing incorrect information.
- Code generation examples: Demonstrates the ability to generate functional code, such as a Python binary search implementation, complete with explanations.
Good For
- Safe chatbot development: Ideal for applications where adherence to strict safety and ethical guidelines is paramount.
- Educational tools: Can be used to explain concepts or provide code examples in a clear and structured manner.
- General Q&A systems: Suitable for answering a wide range of questions while maintaining a helpful and honest demeanor.
This model's training emphasizes responsible AI practices, making it a strong candidate for applications requiring reliable and ethically sound interactions.