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Qwen2.5 Coder

Developed by cortexso
Qwen2.5-Coder is an advanced language model developed by Qwen Labs, designed specifically for code generation, understanding, and completion tasks, using a Transformer architecture with 25 billion parameters.
Downloads 1,605
Release Time : 11/11/2024

Model Overview

Qwen2.5-Coder is a language model designed for code-related tasks. It can generate high-quality code snippets, explain algorithms, and provide code suggestions, suitable for multiple programming languages and frameworks.

Model Features

Multilingual code support
Trained on multiple programming languages and frameworks to ensure the accuracy and relevance of the output.
Advanced fine-tuning technology
Uses advanced fine-tuning technology to optimize instruction following and provide reliable output.
Security measures
Adopts strict security measures to ensure the safety and reliability of the model output.
Context awareness
Has context awareness ability and can understand and generate code that conforms to the context.

Model Capabilities

Code generation
Code understanding
Code completion
Algorithm explanation

Use Cases

Software development
Code snippet generation
Generate code snippets with specific functions based on natural language descriptions.
Improve development efficiency and reduce manual coding time.
Code completion
Provide intelligent code completion suggestions in the IDE.
Accelerate the coding process and reduce errors.
Academic research
Algorithm explanation
Explain the implementation principle and code structure of complex algorithms.
Help researchers understand the details of the algorithms.
Programming education
Teaching assistance
Provide code examples and explanations for students.
Enhance learning effects and lower the learning threshold.
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