A new generation of multi-language pre-trained models with excellent performance.
Qwen2 is a series of pre-trained and instruction-tuned models that support up to 27 languages, including English and Chinese. The models performed well on multiple benchmarks, showing significant improvements in coding and mathematics in particular. The context length of the Qwen2 model supports up to 128K tokens, which is suitable for processing long text tasks. In addition, the Qwen2-72B-Instruct model is comparable to GPT-4 in terms of security and significantly better than the Mistral-8x22B model.
The Qwen2 model is suitable for developers and researchers who need to process multilingual and long text data, especially in the fields of programming, data analysis and machine learning.
Developers use the Qwen2-72B-Instruct model for code generation and debugging.
Data analysts utilize Qwen2 models to process and analyze large-scale multilingual data sets.
Machine learning researchers use the Qwen2 model for research on multilingual natural language processing tasks.
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