GPU-Accelerated Dev Container for Codestral LLM

The guide provides a step-by-step setup for running the Mamba-Codestral-7B-v0.1 large language model inside a containerized development environment using Daytona, a tool that streamlines the process of managing Python-based AI projects. The process involves creating a dev container with a specific configuration file (`devcontainer.json`), installing required dependencies and tools, downloading the Mamba-Codestral-7B-v0.1 model from Hugging Face, and generating text or code using custom scripts. After setting up the environment, users can run the LLM model in their VS Code workspace and test its functionality by running generated Python scripts. The guide enhances flexibility, portability, and GPU acceleration, making it easier to manage dependencies and optimize performance.

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