Qwen2.5-1M
Open source Qwen model supporting 1 million Token contexts, suitable for long sequence processing tasks
Product Details
Qwen2.5-1M is an open source artificial intelligence language model designed for processing long sequence tasks and supports a context length of up to 1 million Tokens. This model significantly improves the performance and efficiency of long sequence processing through innovative training methods and technical optimization. It performs well on long context tasks while maintaining performance on short text tasks, making it an excellent open source alternative to existing long context models. This model is suitable for scenarios that require processing large amounts of text data, such as document analysis, information retrieval, etc., and can provide developers with powerful language processing capabilities.
Main Features
How to Use
Target Users
This product is suitable for developers, researchers and enterprises who need to process long text data, especially in the fields of natural language processing, text analysis, information retrieval and other fields. It can help users efficiently process large-scale text data, improve work efficiency and model performance.
Examples
In long context tasks, such as the task of finding a needle in a haystack, the model can accurately retrieve hidden information from 1 million Token documents.
Excellent performance in complex long context understanding tasks such as RULER, LV-Eval and LongbenchChat
Stably outperforms GPT-4o-mini on multiple datasets with eight times the context length
Quick Access
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