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Tutorials • Fine-tuning Tutorials
Qwen Fine-tuning

This tutorial introduces an example of fine-tuning the open-source Qwen2.5 7B model on the MoAI Platform.

Tutorials • Fine-tuning Tutorials • Qwen Fine-tuning
1. Preparing for Fine-tuning

Preparing the PyTorch script execution environment on the MoAI Platform is similar to doing so on a typical GPU server.

Tutorials • Fine-tuning Tutorials • Qwen Fine-tuning
2. Understanding Training Code

If you've prepared all the training data, let's now take a look at the train_qwen.py script to actually run the fine-tuning process.

Tutorials • Fine-tuning Tutorials • Qwen Fine-tuning
3. Model Fine-tuning

Now, we will train the model through the following process.

Tutorials • Fine-tuning Tutorials • Qwen Fine-tuning
4. Checking Training Results

Running the train_qwen.py script, as in the previous chapter, will save the resulting model in the qwen_code_generation

Tutorials • Fine-tuning Tutorials • Qwen Fine-tuning
5. Changing the Number of GPUs

Let's rerun the fine-tuning task with a different number of GPUs.

Tutorials • Fine-tuning Tutorials • Qwen Fine-tuning
6. Conclusion

So far, we've explored the process of fine-tuning the Qwen2.5 7B model on the MoAI Platform.

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