Safetensors, a library for model compression and quantization, is joining the PyTorch Foundation. This move aims to integrate Safetensors with PyTorch's existing tools and infrastructure. The integration will allow developers to more easily use Safetensors in their projects. According to Hugging Face, this partnership will improve the overall user experience and make it easier for researchers and developers to work with models. --- Why it matters: This matters to AI engineers because it simplifies model compression and quantization, making it easier to deploy models on resource-constrained devices. The integration of Safetensors with PyTorch's tools will also enable more efficient use of computational resources. Source: https://huggingface.co/blog/safetensors-joins-pytorch-foundation