Korabbit/Llama-2-7b-chat-hf-afr-200step-flan
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Nov 30, 2023License:llama2Architecture:Transformer Open Weights Cold
Korabbit/Llama-2-7b-chat-hf-afr-200step-flan is a 7 billion parameter language model developed by Korabbit, based on the Llama-2-7b-chat architecture. This model incorporates an "AFR training" approach, fine-tuned over 200 steps, and is designed for chat-based applications. It aims to provide helpful, respectful, and honest assistant responses, focusing on safe and socially unbiased content.
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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.