Triple-pane browsing. Zero reloads.
Sidebar, list, and live preview stay put while you switch Models, Datasets, Spaces, and Papers. Pick a repo and the right pane renders the model card instantly — no new tabs, no full-page reloads.
ohmyhfUnofficialThe Hugging Face desktop client that should have existed.
An unofficial, open-source app for browsing, downloading and managing the Hugging Face Hub — fast, local, private.
v0.0.12 · Apache-2.0 · macOS / Windows / Linux · No telemetry
Twenty tabs. Endless reloads. A 300 GB cache folder you're afraid to open.
ohmyhf fixes this.
Narrow the Hub until one list remains.
Open filters beside the model list: task, parameter size, library, and license. Clear all or hit Done — then keep browsing the same three panes. ⌘K is always there when you want to search everything.
Open the file tree. Preview configs in place.
Switch to Files on any repo: walk folders, select a weight or config.json, and read it in the side preview — without leaving the desktop window or dumping another browser tab.
A home feed — and trending on the side.
Follow people and orgs, skim posts in the center, and keep an eye on trending models, datasets, and spaces in the right rail. Library items like favorites, downloads, and cache live in the same sidebar.
Spaces as a gallery, not a pile of tabs.
Browse running Spaces in a card grid with status and likes, then open one when you’re ready. The detail pane waits until you pick — same three-pane rhythm as Models.
There's more inside.
Preview dataset rows before you download anything.
Full PR review — diffs, comments, and all.
Run a Space right inside the app.
Public profiles — repos, papers, and activity.
Read community posts in place.
Account, network, privacy — every setting, one modal.
On the roadmap.
- In progress
Deeper inbox
Richer follow notifications for users, orgs, repos, and Daily Papers — tuned so the signal stays useful.
- In progress
Richer compare
Side-by-side model compare with more metadata and benchmarks, so picking a checkpoint stays a glance.
- In progress
Local AI toolchain
Push GGUF into Ollama or LM Studio, send models to ComfyUI, and run an in-app inference playground — without leaving the desktop.
Built to earn trust.
Open source
Apache-2.0 licensed. Read the code, fork it, audit it — the full repository is public on GitHub.
Privacy-first
Everything stays local in SQLite. No telemetry. OAuth tokens are stored with OS-level encryption — never in plaintext. Downloads write to the standard Hugging Face cache, with a visualizer to reclaim disk.
Cross-platform
Native builds for macOS, Windows, and Linux. Resumable, parallel downloads with sha256 checks and system notifications — plus in-app updates from GitHub Releases.
Download ohmyhf
Latest release: v0.0.12. Installers and checksums come from the GitHub Releases page.
macOS
dmg (Apple Silicon)
Download for macOSUnsigned build for now — see the signing notes.
Windows
exe installer
Linux
AppImage / deb (x64)
Questions, answered.
Is this an official Hugging Face app?
No. ohmyhf is an unofficial open-source project. It is not affiliated with, associated with, or endorsed by Hugging Face, Inc. “Hugging Face” is a trademark of Hugging Face, Inc., used here for identification purposes only.
Is ohmyhf free?
Yes. The app is free and open source under the Apache-2.0 license. You can use it, study it, and contribute without paying a fee.
Are my data and tokens safe?
All app data stays on your machine in a local SQLite database. Tokens are stored with OS-level encryption, never in plaintext. There is no telemetry, and the source is public so you can audit what runs.
Which platforms are supported?
ohmyhf targets macOS, Windows, and Linux. Builds ship as dmg, exe installer, and AppImage / deb, with in-app updates from GitHub Releases.
Is the cache compatible with huggingface-cli and transformers?
Yes. Downloads write to the standard Hugging Face cache layout. Models and datasets you fetch in ohmyhf work with huggingface-cli, transformers, and other tools that expect that layout.
How can I contribute?
We welcome issues, pull requests, and translations. Start with the contributing guide in the repository — it covers setup, coding standards, and how to propose changes.