Are you an LLM? You can read better optimized documentation at /docs/getting-started/getting-started.md for this page in Markdown format
Getting Started with Jozu Hub β
Welcome! This guide covers:
- β Exploring ModelKits - the only secure packaging for AI/ML projects
- π Deploy & Audit
- π Importing from Hugging Face
- π οΈ Creating your own ModelKit
TIP
Sign up for free to unlock Hugging Face imports, full security reports, and generate deployable containers automatically.
β Explore ModelKits β
Start with the Jozu Hub home page to find secure, reusable AI/ML ModelKits.
π§ Browse & Inspect β
- ModelKits are grouped in repositories
- Use tags (e.g.,
latest
,q4_0
, orvalidation
) to see different ModelKit versions - Change tags using the drop down beside the green tag name
π View Contents & Metadata β
- Click a tag to open the ModelKit
- Use the sub-tabs: Deploy, ModelKit Contents, Security, Diff, and Model Card
- See models, datasets, parameters, and metrics before downloading
π₯ Pull to Your Machine β
Click Pull Tag to copy the CLI command and fetch the ModelKit locally (install the Kit CLI).
π Deploy & Audit β
βοΈ Auto-Generated Deployment β
Get a ready-to-run docker run command or Kubernetes YAML for any ModelKit
π Security Reports β
All ModelKits are scanned for vulnerabilities β details are visible to logged-in users.
This process can take some time for large models so don't worry if your security report isn't complete when you first check on a new model.
π Diff Between Versions β
Easily compare tags within a repository to see what changed.
π Import from Hugging Face β
- Sign in
- Click Add Repository β Import from Hugging Face
- Paste the Hugging Face model URL
- Add your token (if the Hugging Face model requires one)
- Click Import β weβll email you when itβs ready
π οΈ Create a ModelKit β
Want to push your own model or dataset?
- Package your project using the Kit CLI or PyKitOps SDK
- Push your ModelKit to your Jozu account
- Share your ModelKit link with others