Qwen2.5-Turbo
Advanced language model for efficient processing of long text
Product Details
Qwen2.5-Turbo is a language model launched by the Alibaba development team that can handle ultra-long texts. It is optimized on the basis of Qwen2.5 and supports contexts of up to 1M tokens, which is equivalent to about 1 million English words or 1.5 million Chinese characters. The model achieved 100% accuracy on the 1M-token Passkey Retrieval task and scored 93.1 on the RULER long text evaluation benchmark, surpassing GPT-4 and GLM4-9B-1M. Qwen2.5-Turbo not only performs well in long text processing, but also maintains high performance in short text processing and is highly cost-effective. The processing cost per 1M tokens is only 0.3 yuan.
Main Features
How to Use
Target Users
Qwen2.5-Turbo is targeted at developers, data scientists, and businesses that need to process large amounts of text data. It is suitable for users who need to extract information from long texts, generate summaries, or perform complex text analysis. Due to its efficient long text processing capabilities and cost-effectiveness, it is also suitable for small and medium-sized enterprises with limited budgets but in need of high-performance text processing solutions.
Examples
Use Qwen2.5-Turbo to process 10 novels and generate detailed summaries of each novel.
Convert 150 hours of lecture notes into concise meeting minutes.
Provide contextual understanding for 30,000 lines of code to assist with code generation and error detection.
Quick Access
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