Qwen2.5-Turbo: Advanced Language Model
date
Nov 25, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1732501260655-202411211401179308.jpg
slug
qwen2-5-turbo-advanced-language-model-1732501267412
tags
Language Model
AI Technology
Text Processing
Alibaba
Machine Learning
summary
Qwen2.5-Turbo is an advanced language model by Alibaba optimized for long text processing, capable of handling up to 1 million tokens with exceptional performance and cost-effectiveness. It is ideal for developers and enterprises working with large volumes of text data.
Product Introduction
Qwen2.5-Turbo is an innovative language model developed by Alibaba's team, specifically designed for efficient long text processing. It boasts a remarkable capability to support a context length of up to 1 million tokens, making it an excellent solution for developers, data scientists, and enterprises dealing with extensive text data.
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, demonstrating its reliability.
- Scored 93.1 in the RULER long text evaluation benchmarks, outperforming competitors like GPT-4.
- Integrates sparse attention mechanisms, significantly reducing the time to generate the first token from 4.9 minutes to just 68 seconds.
- Highly competitive processing cost at only 0.3 yuan per million tokens, offering exceptional cost-effectiveness.
- Maintains high performance in short text processing, comparable to GPT-4o-mini.
Product Data
- Context Length: Up to 1 million tokens
- Accuracy: 100% in 1M-token Passkey Retrieval
- RULER Benchmark Score: 93.1
- Processing Cost: 0.3 yuan per million tokens
- Performance in Short Text: Comparable to GPT-4o-mini