# Prepare Fine-tuning on MoAI Platform

The MoAI Platform can be configured with various GPUs, yet it provides a consistent user experience through a unified interface (CLI). This uniform access allows all users to interact with the system in the same way, making it more efficient and intuitive.

The MoAI Platform supports Python-based programming, similar to typical AI training environments. This document focuses on setting up and using a conda virtual environment as the standard configuration for AI training.

# Setting up a Conda Environment

To begin training, first create a conda environment:
```
$ conda create --name <my-env> python=3.8
```
Replace <my-env> with your desired environment name.
Activate the conda environment:
```
$ conda activate <my-env>
```
The MoAI Platform supports various PyTorch versions, allowing you to choose the one that fits your needs.
```
$ pip install torch==1.13.1+cu116.moreh24.5.0
```

Use the moreh-smi command to check the version of the installed Moreh solution and the details of the MoAI Accelerator in use. The current MoAI Accelerator is 4xLarge.2048GB . For more information about the MoAI Accelerator, refer to the specifications.

$ moreh-smi
+-----------------------------------------------------------------------------------------------------+
|                                                    Current Version: 24.5.0  Latest Version: 24.5.0  |
+-----------------------------------------------------------------------------------------------------+
|  Device  |        Name         |       Model      |  Memory Usage  |  Total Memory  |  Utilization  |
+=====================================================================================================+
|  * 0     |   MoAI Accelerator  |  4xLarge.2048GB  |  -             |  -             |  -            |
+-----------------------------------------------------------------------------------------------------+

For optimal parameters recommended for fine-tuning each model on the MoAI Platform, refer to the LLM Fine-tuning parameter guide

For detailed usage of the moreh toolkit, including moreh-smi and moreh-switch-model, please refer to the Using the MoAI Platform Toolkit

guide