Qwen2.5-Turbo

An advanced language model for efficient long text processing.

ChineseSelectionProgrammingLong Text ProcessingHigh Performance

Qwen2.5-Turbo is an innovative language model developed by Alibaba's team, optimized for processing extremely long texts. It supports a context of up to 1 million tokens, which is equivalent to approximately 1 million English words or 1.5 million Chinese characters. The model achieved a 100% accuracy rate in the 1M-token Passkey Retrieval task and scored 93.1 in the RULER long text evaluation benchmarks, surpassing both GPT-4 and GLM4-9B-1M. Qwen2.5-Turbo not only excels in long text handling but also maintains high performance in short text processing, offering exceptional cost-effectiveness at only 0.3 yuan per million tokens processed.

Supports a context length of up to 1 million tokens
capable of handling extremely long texts.
Achieved 100% accuracy in the 1M-token Passkey Retrieval task.
Scored 93.1 in the RULER long text evaluation benchmarks
outperforming GPT-4.
Integrates sparse attention mechanisms
reducing the time to generate the first token from 4.9 minutes to 68 seconds.
Processing cost is highly competitive at 0.3 yuan per million tokens.
Maintains high performance in short text handling
comparable to GPT-4o-mini.

\The target audience for Qwen2.5-Turbo includes developers
data scientists
and enterprises handling large volumes of text data. It is well-suited for users needing to extract information
generate summaries
or conduct complex text analyses within long texts. Its efficient long text processing capability and cost-effectiveness also make it an ideal choice for small to medium-sized enterprises with limited budgets seeking high-performance text processing solutions.\

Using Qwen2.5-Turbo to process 10 full-length novels and generate detailed summaries for each.
Converting 150 hours of speech transcripts into concise meeting minutes.
Providing contextual understanding for 30
000 lines of code to assist in code generation and error detection.

1. Prepare a long text file
for example
'example.txt'.
2. Write a Python script to import the necessary libraries.
3. Read the contents of the long text file and add user input.

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Monthly Visits

57107

Bounce Rate

51.09%

Page per Visit

1.6

Visit Duration

00:00:30

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Qwen2.5-Turbo

Qwen2.5-Turbo Visit Over Time

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