This is an attempt to fine-tune the Llama model released by Meta for Central Kurdish. The initial model was then fine-tuned on a set of instructions provided by Stanford's Alpaca project.
Another project, GPT-4-LLM, used the same set of instructions provided by the Alpaca project and generated output using GPT-4 rather than the original text-davinci-003.
Most of the hard work has already been done. The goal of this project is to translate the dataset to Central Kurdish using an NLLB model. The resulting fine-tuned model, KurdishLlama, can be used for various natural language processing tasks in Central Kurdish.
Stay tuned for updates on the progress of this project!
To translate the dataset, run the following command:
python translate_data.py ./data/alpaca_gpt4_data.json ./data/alpaca_gpt4_ckb.jsonThis command will use an NLLB model to translate the Alpaca project's GPT-4 data to Central Kurdish, and save the translated data to a new file called alpaca_gpt4_ckb.json.
The NLLB model has a tendency to produce erroneous translations where it repeats a single word throughout. To address this issue, the data_cleaning.py script will remove any instances where a single word is repeated consecutively at least three times.
To test the model you can either run the generate.py script or use the Inference notebook:
