Qwen2.5-Coder

Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is ideal for a variety of use cases, from simple code assistants to complex programming scenarios, matching the capabilities of models like GPT-4o.

Features

Supports 92+ programming languages: Offers code generation and debugging across a wide range of languages.
Long context window of 128K tokens: Allows for processing and generating large-scale code with extended context understanding.
Multiple model sizes: Available in sizes ranging from 0.5B to 32B parameters for scalable performance.
Open-source: Provides transparency and flexibility for developers to use, modify, and contribute to the model.
State-of-the-art code generation: Efficient at generating, optimizing, and debugging code with high accuracy.
AI-driven debugging: Assists developers in identifying issues and suggesting fixes in their code.
Complex mathematical problem-solving: Solves mathematical equations and problems as part of the code generation process.
Flexible for different use cases: Suitable for both simple coding tasks and complex software development projects.
Ideal for AI-based development tools: Integrates well with coding assistants and other AI-powered development environments.

Project Samples

Project Activity

See All Activity >

License

Other License

Follow Qwen2.5-Coder

Qwen2.5-Coder Web Site

Other Useful Business Software

Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.

Start Free

Rate This Project

User Ratings

5.0 out of 5 stars

★★★★★

★★★★

★★★

★★

★

ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

User Reviews

Filter Reviews:

All

dappervoid Posted 2025-03-04

Really cool AI coding model

Additional Project Details

Languages

English

Programming Language

Go, Python

Related Categories

Python Large Language Models (LLM), Python AI Coding Tool, Python AI Models, Go Large Language Models (LLM), Go AI Coding Tool, Go AI Models

Registered

2025-03-04

Similar Business Software

QwQ-32B

QwQ-32B is an advanced reasoning model developed by Alibaba Cloud's Qwen team, designed to enhance AI's problem-solving capabilities. With 32 billion parameters, it achieves performance comparable to state-of-the-art models like DeepSeek's R1, which has 671 billion parameters. This efficiency...

See Software
Qwen3-Coder

Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 %...

See Software
QwQ-Max-Preview

QwQ-Max-Preview is an advanced AI model built on the Qwen2.5-Max architecture, designed to excel in deep reasoning, mathematical problem-solving, coding, and agent-related tasks. This preview version offers a sneak peek at its capabilities, which include improved performance in a wide range of...

See Software
CodeQwen

CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series...

See Software
Qwen

Qwen LLM refers to a family of large language models (LLMs) developed by Alibaba Cloud's Damo Academy. These models are trained on a massive dataset of text and code, allowing them to understand and generate human-like text, translate languages, write different kinds of creative content, and...

See Software
Sky-T1

Sky-T1-32B-Preview is an open source reasoning model developed by the NovaSky team at UC Berkeley's Sky Computing Lab. It matches the performance of proprietary models like o1-preview on reasoning and coding benchmarks, yet was trained for under $450, showcasing the feasibility of...

See Software