Qwen2.5-Turbo: Advanced Language Model
date
Nov 22, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1732277754614-202411211401179308.jpg
slug
qwen2-5-turbo-advanced-language-model-1732277775954
tags
AI
Language Model
Text Processing
Alibaba
Qwen2.5-Turbo
summary
Qwen2.5-Turbo is an innovative language model developed by Alibaba, designed for efficient long text processing. With a context length of up to 1 million tokens, it excels in both long and short text handling, offering high performance and cost-effectiveness.
Product Introduction
Qwen2.5-Turbo is an advanced language model developed by Alibaba's team, optimized for processing extremely long texts. It is ideal for applications requiring the handling of vast amounts of data, supporting a context of up to 1 million tokens. This model not only excels in long text processing but also maintains high performance with short texts, making it versatile for various applications.
Key Features
- Context Length: Supports a context length of up to 1 million tokens, equivalent to approximately 1 million English words or 1.5 million Chinese characters.
- Accuracy: Achieved a 100% accuracy rate in the 1M-token Passkey Retrieval task, showcasing its reliability.
- Benchmark Performance: Scored 93.1 in the RULER long text evaluation benchmarks, outperforming competitors like GPT-4.
- Sparse Attention Mechanisms: Integrates advanced sparse attention mechanisms, significantly reducing the time to generate the first token from 4.9 minutes to just 68 seconds.
- Cost-Effectiveness: Highly competitive processing cost at only 0.3 yuan per million tokens processed.
- Short Text Handling: Maintains high performance in short text processing, comparable to GPT-4o-mini.
Product Data
- Model Name: Qwen2.5-Turbo
- Developed By: Alibaba
- Context Capacity: Up to 1 million tokens
- Accuracy: 100% in Passkey Retrieval task
- RULER Score: 93.1
- Processing Time: First token generation reduced to 68 seconds
- Processing Cost: 0.3 yuan per million tokens