The HuggingFace Model Downloader is a utility tool designed to simplify the process of downloading models and datasets from the HuggingFace website. This service was created by the user bodaay on GitHub and has multiple releases with new features and improvements.
The main reason for creating this tool was to address the slow downloading speed experienced by users with Git LFS (Large File Storage) when downloading models. HuggingFace models are stored using Git LFS due to their large size. Downloading these models conventionally can be inconvenient and slow, which can be problematic for users that require quick access to these models. The downloader service offers a faster, more convenient alternative, providing multithreaded downloading capabilities for LFS files. It also ensures the integrity of the downloaded models by checking their SHA256 checksum[1].
The HuggingFace Model Downloader supports various platforms including Linux, Mac, and Windows WSL2, and it offers a one-line installer. The downloaded binary “hfdownloader” is saved in the same directory.
In terms of capabilities, the service has seen several updates in its releases. It initially provided the basic functionality of downloading models. Later releases added the ability to download datasets and to add filters to Models LFS files, allowing users to specify which files to download based on their name. Another feature added was the ability to append to the path filter, which is especially useful for GGML models. In addition to these, the service also supports the use of a HuggingFace token to access restricted models or datasets that require authentication.
While the HuggingFace Hub and associated libraries do offer ways to download models directly[2], these methods may be inconvenient or slow for some users[3]. Therefore, the HuggingFace Model Downloader provides a valuable tool for those who frequently work with HuggingFace models and datasets and need a faster, more streamlined way to download these resources.
As for future development, the creator of the tool intends to potentially integrate it into other projects for performing inference using a combination of Golang and Python.
Overall, the HuggingFace Model Downloader is a powerful utility for users who regularly interact with HuggingFace’s wealth of resources and are seeking a faster, more efficient way to download and use these resources.
