Codellama 7B
por pcloudhosting
Version 0.24.0 + Free with Support on Ubuntu 26.04
Code Llama 7B is an open-source large language model developed by Meta AI for code generation, debugging, and software development tasks. It helps developers generate code, explain programming concepts, automate scripting tasks, and build AI-assisted development workflows using both command-line and API-based interfaces.
The solution supports common AI coding workflows including source code generation, code completion, debugging assistance, documentation generation, natural language to code conversion, and multi-language programming support. It is ideal for developers, DevOps engineers, researchers, students, and machine learning workloads that require local AI-powered coding assistance.
Version: CodeLlama 7B
Features of CodeLlama 7B:
- Command-line interface using Ollama runtime.
- Supports Python, JavaScript, PHP, C++, Java, and many other languages.
- AI-powered code generation and auto-completion.
- Debugging and code explanation capabilities.
- Natural language prompt to code conversion.
- Local execution without cloud dependency.
- API access for integration into applications and workflows.
- Compatible with Open WebUI for browser-based AI interaction.
Usage instructions for CodeLlama 7B
$ sudo su
$ cd /opt
$ systemctl enable ollama
$ systemctl start ollama
$ ollama list
Check installed version: ollama --version
Access the application: CodeLlama 7B can be accessed through CLI or browser-based WebUI. Run CodeLlama CLI: ollama run codellama:7b Use CodeLlama API: curl http://localhost:11434/api/tags Optional Web Interface: Install Open WebUI and access: http://SERVER-IP:3000
Disclaimer: CodeLlama 7B is provided “as is” under applicable open-source licenses. Users are responsible for validating generated code, securing exposed APIs, and ensuring compatibility with their hardware and software environment. This solution is best suited for AI-assisted software development, automation, coding research, DevOps workflows, and local large language model experimentation.