Llama3.1-8B-Chinese-Chat
Maintainer: shenzhi-wang
171
🧠
| 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 |
Create account to get full access
Model overview
Llama3.1-8B-Chinese-Chat is an instruction-tuned language model developed by Shenzhi Wang that is fine-tuned for Chinese and English users. It is built upon the Meta-Llama-3.1-8B-Instruct model and exhibits significant enhancements in roleplay, function calling, and math capabilities compared to the base model.
The model was fine-tuned using the ORPO algorithm [1] on a dataset containing over 100K preference pairs with an equal ratio of Chinese and English data. This approach helps reduce issues like "Chinese questions with English answers" and the mixing of Chinese and English in responses, making the model more suitable for Chinese and English users.
[1] Hong, Jiwoo, Noah Lee, and James Thorne. "Reference-free Monolithic Preference Optimization with Odds Ratio." arXiv preprint arXiv:2403.07691 (2024).
Model inputs and outputs
Inputs
- Textual prompts: The model accepts textual prompts in Chinese, English, or a mix of both, covering a wide range of topics and tasks.
Outputs
- Textual responses: The model generates coherent and contextually appropriate textual responses in Chinese, English, or a mix of both, depending on the input prompt.
Capabilities
Llama3.1-8B-Chinese-Chat excels at tasks such as:
- Roleplaying: The model can seamlessly switch between different personas and respond in a way that reflects the specified character's voice and personality.
- Function calling: The model can understand and execute specific commands or actions, such as searching the internet or directly answering questions.
- Math: The model demonstrates strong capabilities in solving math-related problems and explaining mathematical concepts.
What can I use it for?
The Llama3.1-8B-Chinese-Chat model can be useful for a variety of applications, such as:
- Chatbots and virtual assistants: The model can be integrated into chatbots and virtual assistants to provide fluent and contextual responses in Chinese and English.
- Content generation: The model can be used to generate coherent and creative content, such as stories, poems, or articles, in both Chinese and English.
- Educational and learning applications: The model's strong performance in math and its ability to explain concepts can make it useful for educational and learning applications.
Things to try
One interesting thing to try with Llama3.1-8B-Chinese-Chat is its roleplay capabilities. You can experiment by providing the model with different character prompts and see how it adapts its responses accordingly. Additionally, the model's function calling abilities allow you to integrate it with various tools and services, opening up possibilities for building interactive and task-oriented applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
🤯
Llama3-70B-Chinese-Chat
87
Llama3-70B-Chinese-Chat is one of the first instruction-tuned LLMs for Chinese & English users with various abilities such as roleplaying, tool-using, and math, built upon the Meta-Llama/Meta-Llama-3-70B-Instruct model. According to the results from C-Eval and CMMLU, the performance of Llama3-70B-Chinese-Chat in Chinese significantly exceeds that of ChatGPT and is comparable to GPT-4. The model was developed by Shenzhi Wang and Yaowei Zheng. It was fine-tuned on a dataset containing over 100K preference pairs, with a roughly equal ratio of Chinese and English data. Compared to the original Meta-Llama-3-70B-Instruct model, Llama3-70B-Chinese-Chat significantly reduces issues of "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 Free-form text prompts in either Chinese or English Outputs Free-form text responses in either Chinese or English, depending on the input language Capabilities Llama3-70B-Chinese-Chat exhibits strong performance in areas such as roleplaying, tool-using, and math, as demonstrated by its high scores on benchmarks like C-Eval and CMMLU. It is able to understand and respond fluently in both Chinese and English, making it a versatile assistant for users comfortable in either language. What can I use it for? Llama3-70B-Chinese-Chat could be useful for a variety of applications that require a language model capable of understanding and generating high-quality Chinese and English text. Some potential use cases include: Chatbots and virtual assistants for Chinese and bilingual users Language learning and translation tools Content generation for Chinese and bilingual media and publications Multilingual research and analysis tasks Things to try One interesting aspect of Llama3-70B-Chinese-Chat is its ability to seamlessly switch between Chinese and English within a conversation. Try prompting the model with a mix of Chinese and English, and see how it responds. You can also experiment with different prompts and topics to test the model's diverse capabilities in areas like roleplaying, math, and coding.
Updated Invalid Date
🔄
Llama3-8B-Chinese-Chat
494
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.
Updated Invalid Date
📶
Gemma-2-9B-Chinese-Chat
57
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.
Updated Invalid Date
🐍
Gemma-2-27B-Chinese-Chat
58
Gemma-2-27B-Chinese-Chat is the first instruction-tuned language model built upon google/gemma-2-27b-it for Chinese and English users. It is designed with various capabilities such as roleplaying and tool-using. This model was developed by a team including Shenzhi Wang, Yaowei Zheng, Guoyin Wang, Shiji Song, and Gao Huang. Model inputs and outputs Gemma-2-27B-Chinese-Chat is a large language model that can generate text based on prompts. It has been fine-tuned on a preference dataset of over 100,000 pairs to improve its performance for Chinese and English users. Inputs Prompts in Chinese or English for the model to generate text Outputs Generated text in Chinese or English based on the input prompt Responses to questions or instructions Capabilities Gemma-2-27B-Chinese-Chat has been trained to perform a variety of tasks, including roleplaying, tool-using, and general language understanding and generation. It can engage in open-ended conversations, answer questions, and assist with tasks like writing and analysis. What can I use it for? Gemma-2-27B-Chinese-Chat can be used for a wide range of applications, such as: Chatbots and virtual assistants: The model's language understanding and generation capabilities make it well-suited for building conversational AI agents. Content creation: The model can be used to generate text for articles, stories, or other creative content. Language learning: The model can be used to practice and improve language skills in Chinese or English. Research and exploration: The model can be used to study language models and their capabilities. Things to try One interesting aspect of Gemma-2-27B-Chinese-Chat is its ability to engage in roleplaying and take on different personas. You could try prompting the model to roleplay as a specific character or in a particular scenario to see how it responds. Additionally, you could explore the model's tool-using capabilities by asking it to assist with tasks like research, analysis, or even coding.
Updated Invalid Date