Bidirectional Morse Code LLM

This project demonstrates how a Large Language Model (LLM) can be fine-tuned to perform specialised tasks. In this example, the base model used is Gemma 3 1B (pretrained), fine-tuned specifically to translate between English and Morse code.

Note: This LLM is intended solely for demonstration and educational purposes. It does not have practical real-world applications beyond being a teaching example.

How to Use

Run the model using the following command:

ollama run philipfourie/bi-morse-code

This model is designed for command-line interaction. Make sure to enter sentences with correct punctuation, especially ending with a period. For example:

>>> Hello World.
.... . .-.. .-.. --- / .-- --- .-. .-.. -.. .-.-.-

or the reverse

>>> --. --- --- -.. / -... -.-- . / .-- --- .-. .-.. -.. .-.-.-
Good bye world.

Important: - The model expects properly punctuated sentences (e.g., ending with a period). - It is not intended for conversational use. The input provided must be a single sentence at a time.

References

• Hugging Face Model (Q8 GGUF)
• Hugging Face Model (SafeTensors)
• GitHub Repository