This repository contains a fine-tuned language model (LLM) using the Low-Rank Adaptation (LoRA) technique. The repository includes both the fine-tuning process and the usage of the resulting model.
- Clone this repository to your local machine.
- Install the required Python packages. This project requires
torch,transformers, and any other packages specific to your dataset and task. You can install these with pip:
pip install torch transformersThis repository includes the code for fine-tuning a pre-existing language model using the LoRA technique. LoRA allows for more efficient fine-tuning by focusing on the highest layers of the model. It is well-suited for smaller datasets and more specific tasks.
The code includes the necessary steps to load your base model, fine-tune it with LoRA, and save the resulting model for later use. You will need to have your own dataset ready in a compatible format.
After fine-tuning, the resulting model can be used for various tasks depending on its base model and your fine-tuning. The repository includes example usage of the model for your convenience. You can adjust this code as needed for your specific task.
This project is licensed under the MIT License - see the LICENSE file for details.