Llama3-8B-Chinese-Chat
Maintainer: shenzhi-wang
494
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
Llama3-8B-Chinese-Chat is a Chinese chat model specifically fine-tuned on the DPO-En-Zh-20k dataset based on the Meta-Llama-3-8B-Instruct model. Compared to the original Meta-Llama-3-8B-Instruct model, this model significantly reduces issues with "Chinese questions with English answers" and the mixing of Chinese and English in responses. It also greatly reduces the number of emojis in the answers, making the responses more formal.
Model inputs and outputs
Inputs
- Text: The model takes text-based inputs.
Outputs
- Text: The model generates text-based responses.
Capabilities
The Llama3-8B-Chinese-Chat model is optimized for natural language conversations in Chinese. It can engage in back-and-forth dialogue, answer questions, and generate coherent and contextually relevant responses. Compared to the original Meta-Llama-3-8B-Instruct model, this model produces more accurate and appropriate responses for Chinese users.
What can I use it for?
The Llama3-8B-Chinese-Chat model can be used to develop Chinese-language chatbots, virtual assistants, and other conversational AI applications. It could be particularly useful for companies or developers targeting Chinese-speaking users, as it is better suited to handle Chinese language input and output compared to the original model.
Things to try
You can use this model to engage in natural conversations in Chinese, asking it questions or prompting it to generate stories or responses on various topics. The model's improved performance on Chinese language tasks compared to the original Meta-Llama-3-8B-Instruct makes it a good choice for developers looking to create Chinese-focused conversational AI systems.
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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