# Code Debugging

Qwen2.5-Coder is the latest series of the Qwen large language model, focusing on code generation, reasoning, and debugging. Based on the robust Qwen2.5, this series significantly improves code generation, reasoning, and repair capabilities by incorporating 55 trillion training tokens, including source code, text code grounding, and synthetic data. The Qwen2.5-Coder-32B has emerged as the most advanced open-source large language model for code generation, matching the coding capabilities of GPT-4o. Additionally, Qwen2.5-Coder offers a more comprehensive foundation for real-world applications, such as code agents, enhancing coding abilities while maintaining strengths in mathematics and general proficiency.

Qwen2.5-Coder is the latest series in the Qwen large language model lineup, focusing on code generation, inference, and debugging. Built upon the powerful Qwen2.5 framework, this model was trained on 550 trillion sources, including source code, text code foundations, and synthetic data, making it the most advanced open-source code language model available today. It not only matches the programming capabilities of GPT-4o but also maintains an edge in mathematics and general competencies. The Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4 model features a 4-bit quantized instruction-tuned architecture, incorporating causal language modeling, pre-training and fine-tuning, as well as a transformers architecture.

Qwen2.5-Coder is the latest series of the Qwen large language model, focusing on code generation, inference, and debugging. Built on the powerful Qwen2.5, the Qwen2.5-Coder-32B has emerged as the state-of-the-art open-source code language model, matching GPT-4o in its coding capabilities. This model offers a comprehensive foundation for practical applications like code assistants, enhancing coding ability while maintaining strengths in mathematics and general skills.

Qwen2.5-Coder is the latest series from the Qwen large language model, focusing on code generation, reasoning, and debugging. Built upon the powerful Qwen2.5 framework, this model has been trained on 550 trillion source code, text-code correlations, and synthesized data, making it one of the leading open-source code language models today, rivaling GPT-4 in coding ability. Additionally, Qwen2.5-Coder offers comprehensive real-world application capabilities, such as code agents, enhancing coding proficiency while maintaining strengths in mathematical and general skills.

Qwen2.5-Coder is the latest series of the Qwen large language models, focusing on code generation, reasoning, and debugging. Based on the powerful Qwen2.5 architecture, this model was trained on 550 trillion source codes, text-code associations, synthetic data, and more, making it a leader among current open-source code language models. It not only enhances programming capabilities but also retains advantages in mathematics and general-purpose tasks.

Qwen2.5-Coder is the latest series of the Qwen large language model, specifically designed for code generation, reasoning, and debugging. Built on the powerful Qwen2.5 framework, it has scaled training tokens to 5.5 trillion, incorporating source code, text code bases, synthetic data, among others. Qwen2.5-Coder-32B has emerged as the most advanced open-source large language model for code, matching the coding capabilities of GPT-4o. This model is a 1.5B parameter instruction-tuned version in GGUF format, featuring causal language modeling, pre-training and post-training phases, and a transformers architecture.

The Qwen2.5-Coder-3B-Instruct-GPTQ-Int8 is a large language model optimized for code generation, reasoning, and debugging, part of the Qwen2.5-Coder series. Based on Qwen2.5, it has been trained on a dataset including source code, code-text associations, and synthetic data, achieving 550 trillion training tokens. The Qwen2.5-Coder-32B has emerged as the leading open-source large language model for code, matching coding capabilities with GPT-4o. This model also provides a comprehensive foundation for real-world applications such as code assistance, augmenting coding capabilities while maintaining strengths in mathematics and general skills.

Qwen2.5-Coder is the latest series in the Qwen large language model, specifically designed for code generation, inference, and debugging. The model is based on Qwen2.5, extending the training tokens to 5.5 trillion, incorporating source code, textual code foundations, synthetic data, etc. Qwen2.5-Coder-32B stands out as a top performer among open-source code LLMs, matching the encoding capabilities of GPT-4o. This model is a GPTQ-quantized 4-bit instruction-tuned 3B parameter Qwen2.5-Coder model, featuring causal language modeling, pre-training and post-training phases, and a transformers architecture.

Qwen2.5-Coder represents a series of large language models optimized for code generation, covering six mainstream model sizes with 0.5, 1.5, 3, 7, 14, and 32 billion parameters, catering to the diverse needs of developers. Qwen2.5-Coder shows significant improvements in code generation, inference, and debugging, trained on a robust Qwen2.5 backbone with a token expansion to 5.5 trillion, including source code, text grounding, and synthetic data, making it one of the most advanced open-source code LLMs, with coding capabilities comparable to GPT-4o. Additionally, Qwen2.5-Coder offers a more comprehensive foundation for applications in real-world scenarios such as code agents.

Qwen2.5-Coder-1.5B is a large language model in the Qwen2.5-Coder series, focusing on code generation, reasoning, and debugging. Built upon the robust Qwen2.5 architecture, this model has significantly expanded the training tokens to 5.5 trillion, incorporating source code, textual code bases, synthetic data, and more, making it a leader among open-source code LLMs, rivaling GPT-4o's coding capabilities. Moreover, Qwen2.5-Coder-1.5B has enhanced its mathematical and general capabilities, providing a more comprehensive foundation for practical applications such as code agents.

Qwen2.5-Coder-3B is a large language model within the Qwen2.5-Coder series, emphasizing code generation, reasoning, and debugging. Built on the robust Qwen2.5 architecture, this model significantly improves code generation, reasoning, and debugging capabilities by increasing training tokens to 5.5 trillion, incorporating source code, textual code fundamentals, synthetic data, and more. The Qwen2.5-Coder-32B has become the most advanced open-source code language model available, matching the encoding capabilities of GPT-4o. Furthermore, Qwen2.5-Coder-3B provides a comprehensive foundation for real-world applications like code assistants, enhancing coding capabilities while maintaining strengths in mathematics and general comprehension.

Qwen2.5-Coder-7B-Instruct is a large language model specifically designed for code, part of the Qwen2.5-Coder series which includes six mainstream model sizes: 0.5, 1.5, 3, 7, 14, and 32 billion parameters to meet the diverse needs of developers. This model shows significant improvements in code generation, reasoning, and debugging, trained on an extensive dataset of 5.5 trillion tokens that includes source code, code-related textual data, and synthetic data. The Qwen2.5-Coder-32B represents the latest advancement in open-source code LLMs, matching the coding capabilities of GPT-4o. Moreover, it supports long context lengths of up to 128K tokens, providing a solid foundation for practical applications like code agents.

Debugcode AI is a product that uses advanced artificial intelligence software to solve any programming problem in seconds. It can help you quickly debug code issues, answer any programming questions you have, and accelerate your programming learning process.

McAnswers is a programming community powered by ChatGPT 4.0. Users can discuss programming issues, seek solutions for code errors, get guidance on code refactoring, and quickly generate sample code. We leverage AI's powerful understanding and generation capabilities to create a smarter and more convenient coding experience.

CodeMate is an AI-driven coding tool that helps developers improve their coding efficiency by 10 times through features such as automated code repair, auto-completion, and code reviews. Its core technology is based on the GPT model, which understands code intent, provides suggestions, and automatically corrects errors. Your code remains private and secure. Key features include: code debugging, chat support, code optimization, and code review. Suitable for all programming languages, supporting the VS Code extension.

Photocode is a powerful tool that utilizes artificial intelligence to help users understand source code. With Photocode, you simply take a picture or select code from your gallery, and the AI will analyze and explain the code to you. It can even recognize handwritten code on paper. Photocode can also help you debug code and suggest optimizations. It supports over ten popular programming languages and can provide explanations in more than twenty languages. You can easily share code explanations and their corresponding photos with colleagues or friends on various platforms. Additionally, Photocode offers built-in text-to-speech functionality, which can read the explanations aloud to you. The app automatically saves your code analysis to history for easy review. Bookmark and smart filtering features allow you to effortlessly browse previous entries. Photocode is a valuable tool for anyone looking to learn and understand programming concepts. It is suitable for a wide range of users, including students, professors, software developers, and project managers. The app boasts a modern and sleek design with customizable theme options, ensuring a delightful user experience.

CodeUtils is an AI-powered coding tool that can help developers improve their coding efficiency. It can generate unit tests, explain code, refactor code, write code, document code, and debug code. It can be used in languages such as JavaScript, TypeScript, Kotlin, Java, PHP, Go, Python, C#, C++, Scala, Rust, Dart, and Solidity. It can also translate code into other languages.

Zazzani AI is a top-tier software that accelerates your workflow, offering capabilities for content writing and artistic creation. It can help you debug code effortlessly, generate articles, communicate with AI in your familiar language, and even generate creative ideas and answer your questions. Whether it's speeding up your work, eliminating tedious tasks, or enhancing your creativity, Zazzani AI is here to assist you.

Ask Via is an AI-powered chatbot that can help users answer questions and complete tasks. Through seamless integration with WhatsApp and powered by GPT-3.5 technology, Ask Via is always ready to answer your questions. Whether for work, school, or personal use, Ask Via is a versatile AI assistant, ready to help you anytime. Experience the future with intelligent assistant services!