Download HuggingFace Models/Datasets easily and super fast
I just released v2.0 of HuggingFaceModelDownloader, a Go-based CLI for downloading models and datasets from the Hugging Face Hub. Key features in this release: Filters for selective downloads → fetch only what you need (e.g. specific GGUF quant variants like q4_0, q5_0), with optional auto-subdir layout. Resumable by default → SHA-256 verified for LFS files, size checks for others, multipart range resume per part. Terminal UX → live TUI with per-file progress, speeds, ETA; plain text fallback in constrained environments. CI-friendly → structured --json progress events, concurrency limits,…
Download HuggingFace Models/Datasets easily and super fast launched on June 24, 2023 with 10 votes, #1,691 of 4,655 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
This tool enables fast downloads of models and datasets from HuggingFace using multithreaded connections. Users can filter and specify which files to download, which is particularly useful for GGML format files. The tool verifies downloaded files through SHA256 checksums to ensure integrity. It's designed for developers and researchers who work with large machine learning models and need efficient, reliable download capabilities.
written from the facts on this page · September 2026
From the sources
Simple go utility to download HuggingFace Models and Datasets - bodaay/HuggingFaceModelDownloader
In the maker’s words, at launch
Multithreaded downloading of large files (LFS) Filter Downloads, specic LFS models files can be specified for downloading (Usefull for GGMLs) SHA256 checksum
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