Llama-2-ko-7b-Chat

Maintainer: kfkas

Total Score

66

Last updated 5/28/2024

📊

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

Llama-2-ko-7b-Chat is an AI model developed by Taemin Kim (kfkas) and Juwon Kim (uomnf97). It is based on the LLaMA model and has been fine-tuned on the nlpai-lab/kullm-v2 dataset for chat-based applications.

Model inputs and outputs

Inputs

  • Models input text only.

Outputs

  • Models generate text only.

Capabilities

Llama-2-ko-7b-Chat can engage in open-ended conversations, answering questions, and providing information on a wide range of topics. It has been trained to be helpful, respectful, and informative in its responses.

What can I use it for?

The Llama-2-ko-7b-Chat model can be used for building conversational AI applications, such as virtual assistants, chatbots, and interactive learning experiences. Its strong language understanding and generation capabilities make it well-suited for tasks like customer service, tutoring, and knowledge sharing.

Things to try

One interesting aspect of Llama-2-ko-7b-Chat is its ability to provide detailed, step-by-step instructions for tasks. For example, you could ask it to guide you through the process of planning a camping trip, and it would generate a comprehensive list of essential items to bring and tips for a safe and enjoyable experience.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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