A GitHub project aimed at providing tools and resources for fine-tuning large language models.
This project focuses on enabling fine-tuning of state-of-the-art large language models, including models like Mixtral model and llama.
- Support for fine-tuning various large language model architectures.
- Integration with leading deep learning frameworks such as TensorFlow and PyTorch.
- Pre-trained model checkpoints for easy initialization.
- Example scripts and notebooks for fine-tuning and evaluation.
To install the project, simply clone the repository and install the dependencies:
git clone https://github.com/your-username/your-project.gitTo fine-tune a large language model, follow these steps:
- Prepare your dataset according to the required format. The format should be jsonl
- Run the fine-tuning script, specifying the model architecture and hyperparameters.
- Evaluate the fine-tuned model using the provided evaluation scripts.
- Utilize the fine-tuned model for inference or downstream tasks.
We welcome contributions from the community!
This project is licensed under the MIT License. See the LICENSE file for details.
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