CodeGeeX

CodeGeeX

AMiner
5.0 out of 5 stars
CodeQwen

CodeQwen

Alibaba
+
+

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About

We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. Based on CodeGeeX, we develop a VS Code extension (search 'CodeGeeX' in the Extension Marketplace) that assists the programming of different programming languages. Besides the multilingual code generation/translation abilities, we turn CodeGeeX into a custom programming assistant using its few-shot ability. It means that when a few examples are provided as extra prompts in the input, CodeGeeX will imitate what are done by these examples and generate codes accordingly. Some cool features can be implemented using this ability, like code explanation, summarization, generation with specific coding style, and more. For example, one can add code snippets with his/her own coding style, and CodeGeeX will generate codes in a similar way. You can also try prompts with specific formats to inspire CodeGeeX for new skills.

About

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 of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers and teams that want an AI coding assistant to help them write code, or want to leverage it by on-premise hosting due to privacy reasons

Audience

Anyone seeking an AI tool to improve their natural language understanding operations and text generation tasks

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • CodeGeeX is a viable option to GitHub Copilot as it enables users to produce code blocks simply by entering their desired comments. It is compatible with over 20 programming languages and includes useful functionalities such as code completion, code translation, and code explanation. These features can enhance coding productivity significantly.

Cons

  • On occasion, there may be a delay in generating lengthy code.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

AMiner
China
codegeex.cn/

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/CodeQwen1.5

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Categories

AI Code Generators Supported
AI Tools Supported

Categories

Integrations

Python Supported
Alibaba Cloud Not Supported
AtCoder Not Supported
C Supported
C++ Supported
Code Llama Not Supported
Codeforces Not Supported
Conda Not Supported
DeepSeek Coder Not Supported
GPT-3.5 Not Supported
GPT-4 Not Supported
Go Supported
Hugging Face Not Supported
Java Supported
JavaScript Supported
LangChain Not Supported
LlamaIndex Not Supported
ModelScope Not Supported
PyTorch Not Supported
Visual Studio Code Supported

Integrations

Python Supported
Alibaba Cloud Supported
AtCoder Supported
C Not Supported
C++ Not Supported
Code Llama Supported
Codeforces Supported
Conda Supported
DeepSeek Coder Supported
GPT-3.5 Supported
GPT-4 Supported
Go Not Supported
Hugging Face Supported
Java Not Supported
JavaScript Not Supported
LangChain Supported
LlamaIndex Supported
ModelScope Supported
PyTorch Supported
Visual Studio Code Not Supported
Claim CodeGeeX and update features and information
Claim CodeGeeX and update features and information
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information