Qwen2.5-Turbo: Advanced Language Model
date
Nov 21, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1732192332302-202411211401179308.jpg
slug
qwen2-5-turbo-advanced-language-model-1732192347332
tags
AI Language Model
Text Processing
Long Text Handling
Data Science
Cost-Effective AI
summary
Qwen2.5-Turbo is a state-of-the-art language model developed by Alibaba, optimized for efficient processing of long texts with a remarkable capacity of 1 million tokens. It combines high accuracy with cost-effectiveness, making it suitable for developers and enterprises alike.
Product Introduction
Qwen2.5-Turbo is an innovative language model created by Alibaba's team, designed specifically for efficient long text processing. With the ability to handle extremely long texts, it supports a context length of up to 1 million tokens, making it highly suitable for various applications including text analysis and summarization.
Key Features
- Supports a context length of up to 1 million tokens, equivalent to approximately 1 million English words.
- 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 just 68 seconds.
- Highly competitive processing cost of 0.3 yuan per million tokens.
- Maintains high performance in short text handling, comparable to GPT-4o-mini.
- Ideal for developers, data scientists, and enterprises handling large volumes of text data.
Product Data
- Model Name: Qwen2.5-Turbo
- Context Length: Up to 1 million tokens
- Accuracy Rate: 100% in Passkey Retrieval
- Benchmark Score: 93.1 in RULER evaluation
- Processing Cost: 0.3 yuan per million tokens
- Performance: High performance in both long and short text processing