Hi Folks,
I’m looking for recommendations on the best large language models (LLMs) for generating prompt and response pairs in Chinese, both Simplified and Traditional. Specifically:
- Which models are most effective at generating high-quality responses for conversational tasks in Chinese?
- Is there any leaderboard or benchmark available for evaluating LLMs’ performance in Chinese language tasks?
- Is there any LLM that provides accurate results in both Chinese and English for multilingual applications?
Your insights and recommendations would be greatly appreciated. Thanks in advance!
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For now, I’ve found the Chinese LLM leaderboard.
In my personal opinion, I think the Qwen 2.5 series and the models released after that are much better than the earlier models. They are relatively fluent in English and even Japanese. They are also suitable for coding. The 32B Coder is a particularly popular model. I don’t know much Chinese, but I’m sure Qwen’s Chinese performance is not bad either.
Because it is so popular, if you search for models on HF, you will find many fine-tuned or merged Qwen derivative models.
DeepSeek-R1, which was released the other day, is also very popular and seems to have good performance, but since it was only released yesterday or the day before, it is still being evaluated…
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Thanks for sharing your thoughts on the Qwen 2.5 series and DeepSeek-R1! I agree that the newer Qwen models seem to have made significant improvements in fluency, especially in languages like English and Japanese. The fact that they’re suitable for coding is definitely a plus. I haven’t had the chance to explore Qwen derivatives on HF, but it’s great to hear that there are many fine-tuned and merged versions available.
As for DeepSeek-R1, it’s interesting to hear that it’s generating buzz. I’m curious to see the evaluations once it’s been out for a bit longer, its performance might offer a lot of value in specific tasks.
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Hi @SameerAhmed-712 !
Great question! Here are some recommendations and insights based on your requirements:
1. Best LLMs for Conversational Tasks in Chinese:
- GPT Models (e.g., GPT-4): OpenAI’s GPT-4 has strong multilingual capabilities, including Chinese (both Simplified and Traditional). It’s widely used for conversational tasks and generates high-quality, contextually appropriate responses.
- Claude by Anthropic: Claude performs well in multilingual scenarios, including Chinese, with a focus on producing helpful and aligned responses.
- MOSS: This is a Chinese-focused LLM developed by Fudan University, specifically designed for tasks in the Chinese language.
- Ernie Bot (文心一言): Developed by Baidu, this model is optimized for Chinese and performs well in generating responses for conversational tasks.
- ChatGLM: A Chinese-centric LLM that supports both Simplified and Traditional Chinese. It’s also tailored for conversational applications.
- Ziya (紫夜): Another strong Chinese-focused model designed for high-quality natural language understanding and generation.
2. Leaderboards or Benchmarks for LLMs in Chinese:
- CLUE Benchmark: The Chinese Language Understanding Evaluation (CLUE) benchmark is the most widely recognized evaluation standard for Chinese language tasks. It includes various tasks like sentiment analysis, question answering, and text classification.
- Hugging Face Leaderboards: Check Hugging Face’s leaderboard for Chinese-specific models under various tasks.
- SuperGLUE Multilingual Extensions: Though less Chinese-specific, it includes some cross-lingual benchmarks.
3. Multilingual LLMs for Chinese and English:
- GPT-4: A leading choice for multilingual applications, as it maintains high-quality responses in both English and Chinese, making it suitable for diverse use cases.
- XGLM by Facebook (Meta): This model supports a wide range of languages, including Chinese and English, designed for multilingual natural language generation.
- BLOOM: An open-source multilingual model trained on 46 languages, including Simplified and Traditional Chinese.
- mT5 (Multilingual T5): A multilingual variant of the T5 model that supports both English and Chinese tasks.
Recommendations:
For conversational tasks in Chinese, GPT-4 or Baidu’s Ernie Bot are top-tier choices, depending on whether you need a general-purpose model or one optimized for Chinese. If you need strong multilingual capabilities, GPT-4 or BLOOM are excellent options.
If you’re experimenting with open-source models, give ChatGLM or MOSS a try for Chinese-specific tasks.
Hope this helps! Let me know if you’d like further details or implementation tips.
Best,
Alan Turner
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