Gemma-2-9B-Chinese-Chat
Maintainer: shenzhi-wang
57
📶
| 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
Gemma-2-9B-Chinese-Chat is the first instruction-tuned language model built upon google/gemma-2-9b-it for Chinese and English users. It offers various capabilities, such as roleplaying and tool-using. The model was developed by a team including Shenzhi Wang, Yaowei Zheng, Guoyin Wang, Shiji Song, and Gao Huang.
Model inputs and outputs
Gemma-2-9B-Chinese-Chat is a text-to-text model that can handle both Chinese and English inputs. It is capable of generating responses to a wide range of prompts, from conversational queries to task-oriented instructions.
Inputs
- Chinese or English text
- Prompts or instructions for the model to follow
Outputs
- Chinese or English text responses
- Completion of tasks based on the provided instructions
Capabilities
Gemma-2-9B-Chinese-Chat excels at natural language understanding and generation, allowing it to engage in open-ended conversations, roleplay various scenarios, and perform a variety of language-related tasks. The model has been fine-tuned to maintain a consistent persona and avoid directly answering questions about its own identity or development.
What can I use it for?
Gemma-2-9B-Chinese-Chat can be used for a wide range of applications, including chatbots, language learning tools, content generation, and task automation. Its ability to handle both Chinese and English makes it particularly useful for multilingual projects or for serving users from diverse linguistic backgrounds.
Things to try
Consider experimenting with Gemma-2-9B-Chinese-Chat to see how it performs on tasks such as:
- Open-ended conversation
- Creative writing
- Language translation
- Code generation
- Task planning and execution
The model's flexibility and broad capabilities make it a versatile tool for exploring the possibilities of large language models.
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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