Qwen2

A next-generation multilingual pre-trained model with exceptional performance.

EditorRecommendationProductivityMultilingualPre-trained Model

Qwen2 is a series of pre-trained and instruction-tuned models that support up to 27 languages, including English and Chinese. These models have excelled in multiple benchmark tests, particularly demonstrating significant improvements in coding and mathematical capabilities. Qwen2 supports a context length of up to 128K tokens, making it suitable for handling long-text tasks. Moreover, the Qwen2-72B-Instruct model exhibits comparable safety performance to GPT-4, significantly outperforming the Mistral-8x22B model.

Supports five different model sizes: 0.5B
1.5B
7B
57B-A14B
and 72B.
Trained on 27 languages
enhancing multilingual capabilities.
Significant performance improvements in coding and mathematical tasks.
Extended context length support
up to 128K tokens.

The Qwen2 model is suitable for developers and researchers who need to handle multilingual and long-text data
especially in programming
data analysis
and machine learning.

Developers utilize the Qwen2-72B-Instruct model for code generation and debugging.
Data analysts leverage Qwen2 models to process and analyze large-scale multilingual datasets.
Machine learning researchers employ Qwen2 models for research on multilingual natural language processing tasks.

Access platforms like Hugging Face or ModelScope and search for the Qwen2 model.
Select the appropriate model size and version based on your requirements.
Read the model documentation to understand how to load and use the model.
Compose instructions or questions tailored to your specific task and submit them to the model.
Analyze the model's output results and make necessary adjustments and optimizations.

Visit

Qwen2 Visit Over Time

Monthly Visits

396022

Bounce Rate

59.53%

Page per Visit

1.7

Visit Duration

00:01:06

Qwen2 Visit Trend

Qwen2 Visit Geography

Qwen2 Traffic Sources

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Qwen2

Qwen2 Visit Over Time

Qwen2 Visit Trend

Qwen2 Visit Geography

Qwen2 Traffic Sources

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