kreasof-ai/OpenFormer
📦 Open Source Projectkreasof-ai
A hackable library for running and fine-tuning transformer models on diverse hardware, powered by tinygrad.
OpenFormer serves as a specialized, lightweight interface for transformer architectures, built specifically to run on top of the tinygrad ecosystem. Unlike monolithic frameworks, OpenFormer prioritizes hackability and transparency, enabling users to inspect and modify the underlying attention mechanisms and layer implementations with ease. It is particularly well-suited for developers looking to push the boundaries of model deployment on non-standard hardware, such as alternative GPUs or edge devices. By abstracting the complexities of transformer operations while maintaining a direct link to tinygrad's tensor operations, it allows for rapid prototyping of new research ideas, including liquid neural networks and modern attention variants. The library is designed for those who need granular control over their training loops and model weights without the overhead of heavy-duty production frameworks.
💡Highlights
- ├─Powered by tinygrad framework
- ├─Supports commodity and alt GPUs
- └─Highly hackable transformer code
🎯For
- ├─AI Researchers
- └─Deep Learning Engineers