CodeGeeX

CodeGeeX

AMiner
5.0 out of 5 stars
Code Llama CodeGeeX

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Code Llama:

About

Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.
CodeGeeX:

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.
Code Llama:

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
CodeGeeX:

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
Code Llama:

Audience

Users interested in a powerful, free, open source large language model for coding
CodeGeeX:

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
Code Llama:

Support

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

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
Code Llama:

API

Offers API Not Supported
CodeGeeX:

API

Offers API Not Supported
Code Llama:

Screenshots and Videos

CodeGeeX:

Screenshots and Videos

Code Llama:

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported
CodeGeeX:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Code Llama:

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
CodeGeeX:

Reviews/Ratings

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

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.
Code Llama:

Training

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

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported
Code Llama:

Company Information

Meta
Founded: 2004
United States
ai.meta.com/blog/code-llama-large-language-model-coding/
CodeGeeX:

Company Information

AMiner
China
codegeex.cn/
Code Llama:

Alternatives

GitHub Copilot

GitHub Copilot

GitHub
4.0 out of 5 stars
CodeGeeX:

Alternatives

Gemini Code Assist

Gemini Code Assist

Google
5.0 out of 5 stars
Code Llama:
CodeGemma

CodeGemma

Google
CodeGeeX:
Tabnine

Tabnine

4.5 out of 5 stars
Code Llama:
CodeQwen

CodeQwen

Alibaba
CodeGeeX:
Code Llama:
Llama 2

Llama 2

Meta
CodeGeeX:
CodeGPT

CodeGPT

5.0 out of 5 stars
Code Llama:
Llama 3

Llama 3

Meta
CodeGeeX:
Workik

Workik

4.0 out of 5 stars
Code Llama:

Categories

CodeGeeX:

Categories

AI Code Generators Supported
AI Tools Supported
Code Llama:

Integrations

BLACKBOX AI Supported
C Not Supported
C++ Not Supported
CodeQwen Supported
Go Not Supported
IONOS Cloud AI Model Hub Supported
Java Not Supported
JavaScript Not Supported
Llama Supported
Llama 2 Supported
Llama 3 Supported
Llama 3.1 Supported
Llama 3.2 Supported
Meta AI Supported
Ollama Supported
Pipeshift Supported
Prefactor Supported
Python Not Supported
Tabby Supported
Visual Studio Code Not Supported
CodeGeeX:

Integrations

BLACKBOX AI Not Supported
C Supported
C++ Supported
CodeQwen Not Supported
Go Supported
IONOS Cloud AI Model Hub Not Supported
Java Supported
JavaScript Supported
Llama Not Supported
Llama 2 Not Supported
Llama 3 Not Supported
Llama 3.1 Not Supported
Llama 3.2 Not Supported
Meta AI Not Supported
Ollama Not Supported
Pipeshift Not Supported
Prefactor Not Supported
Python Supported
Tabby Not Supported
Visual Studio Code Supported
Code Llama:
Claim Code Llama and update features and information
Claim Code Llama and update features and information
CodeGeeX:
Claim CodeGeeX and update features and information
Claim CodeGeeX and update features and information