Qwen 2.5

Meet Qwen2.5, a set of advanced language models that can handle many tasks easily. This new version is made better with feedback from developers. It offers models for coding, math, and general language understanding.

Key Features

Qwen2.5 comes in different versions, each with its own strengths:

Qwen2.5 The base model has sizes from 0.5B to 72B parameters. It is good for many tasks.
Qwen2.5 Coder This is great for coding tasks. It comes in sizes from 1.5B to 32B parameters.
Qwen2.5 Math This is best for math tasks. It comes in sizes from 1.5B to 72B parameters.

Most models can be used freely under Apache 2.0 license. You can find them on Hugging Face repositories. APIs for Qwen Plus and Qwen Turbo are available through Model Studio.

Enhanced Capabilities

Qwen2.5 models learned from up to 18 trillion tokens. This makes them very smart and capable:

High scores on tests like MMLU, HumanEval, and MATH.
Great performance in coding and math.
Better at following instructions and writing long texts.
Improved understanding of structured data and JSON outputs.
Better role play for chatbots.

Specialized Models

Qwen2.5 Coder

Trained on 5.5 trillion tokens of code data.
Supports many programming languages.
Great at fixing code and reasoning tasks.

Qwen2.5 Math

Uses fake data and supports Chinese and English.
Uses advanced reasoning methods.
Better than GPT 4o in math reasoning tasks.

Benefits

Qwen2.5 models perform very well. They often do better than larger models in many tasks. They are versatile and support many uses from coding to math reasoning.

Use Cases

Coding Great for making code, fixing it, and reasoning.
Mathematics Excellent for math reasoning tasks.
General Language Understanding Suitable for many language tasks.

Cost Price

The article does not talk about the cost or price of Qwen2.5 models.

Funding

The article does not talk about funding for Qwen2.5 models.

Reviews Testimonials

User testimonials and reviews are not talked about in the article.