Qwen2.5-Turbo: Advanced Language Model
date
Nov 23, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1732367282956-202411211401179308.jpg
slug
qwen2-5-turbo-advanced-language-model-1732367305266
tags
AI Language Model
Text Processing
Natural Language Processing
Alibaba
Machine Learning
summary
Qwen2.5-Turbo is an innovative language model developed by Alibaba, optimized for efficient long text processing. It supports a context length of up to 1 million tokens and excels in both long and short text handling, achieving high accuracy and cost-effectiveness.
Product Introduction
Qwen2.5-Turbo is an advanced language model created by Alibaba's team, designed specifically for efficient processing of long texts. With an impressive context length capability of up to 1 million tokens, it is tailored for applications requiring detailed text analysis, generation, and summarization. This model not only performs well with long texts but also maintains high performance with short texts, making it versatile for various use cases.
Key Features
- Supports a context length of up to 1 million tokens, equivalent to approximately 1 million English words or 1.5 million Chinese characters.
- Achieved 100% accuracy in the 1M-token Passkey Retrieval task.
- Scored 93.1 in the RULER long text evaluation benchmarks, outperforming competitors like GPT-4.
- Integrates sparse attention mechanisms, significantly reducing the token generation time from 4.9 minutes to just 68 seconds.
- Highly competitive processing cost at 0.3 yuan per million tokens, offering exceptional value.
- Maintains strong performance in short text processing, comparable to models like GPT-4o-mini.
Product Data
- Context Length: Up to 1 million tokens.
- Accuracy: 100% in 1M-token Passkey Retrieval task.
- RULER Score: 93.1.
- Processing Cost: 0.3 yuan per million tokens.
- Performance: Outperforms GPT-4 in long text evaluation.