Saudi SALLM J7B V1 Demo

Saudi SALLM J7B V1 Demo

Runs a starter Gradio demo around the Jais-3-7B language model from a browser page, for people who want to try an adapter on it on GPU hardware.

Made by Dr-Zeyad-Alghamdi on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a small Gradio starter built around the language model Jais-3-7B from inception42. It expects an adapter repository to be named in a setting called ADAPTER_REPO_ID. The author says the starter is unverified, and it needs a GPU.

Who it suits: Language model hobbyists and researchers who want a bare app to attach their own adapter to, and who accept that it has not been checked.

Industry | Who uses it | How they use it | Example
Research | Language model researchers | Wire an adapter to Jais-3-7B for a quick trial | Set ADAPTER_REPO_ID to their own adapter repository
Education | Machine learning students | Study a minimal Gradio app for a hosted model | Read app.py and requirements.txt
Software | Developers prototyping chat demos | Start from a three-file layout | Copy the Space and change the model line

Anyone who wants a tested, ready-made chat app can skip it.

Where to use it:

• A browser, by visiting the Space on Hugging Face
• Windows, macOS or Linux with Python, for a copy on your own computer
• A local Gradio page, once app.py is running

Use case | Who | What they get back
Try an adapter on Jais-3-7B | Researchers | Generated text from the demo
Learn from a small repository | Students | Three files that are short enough to read in one sitting

How to set it up:

• Python and pip on Windows, macOS or Linux
• GPU hardware, which the notes say is required
• A value for ADAPTER_REPO_ID, the adapter repository the demo should load

1. Install the Hugging Face hub package.
2. Download the Space with the hf command.
3. Move into the new folder.
4. Install gradio, then the packages listed in requirements.txt.
5. Start the app with Python.

pip install -U huggingface_hub
hf download Dr-Zeyad-Alghamdi/SALLM-J7B-V1 --repo-type space --local-dir SALLM-J7B-V1
cd SALLM-J7B-V1
pip install gradio
pip install -r requirements.txt
python app.py

How to use it: Online, visit the Space on Hugging Face and use the interface that appears. On your own computer, run the start command and open the local page Gradio serves.

python app.py

Tool | What it does
app.py | Starts the Gradio interface
requirements.txt | Lists the Python packages to install
README.md | Holds the author's short notes on the setup

Example: Visit the Space, type a short question for the model, and read the text that comes back. Because the starter is unverified, treat the reply as a test of the setup rather than a finished answer.

For newcomers and experts: If you are new, begin by visiting the Space and sending one short message. That tells you whether the demo runs before you read any code.

If you know the field, the repository is only three files, so the model logic sits in app.py and the adapter lives in a separate repository you name with ADAPTER_REPO_ID. The Space uses the zero-a10g hardware setting. The trade-off is a tiny code base that you must verify yourself.

You visit the Gradio page
app.py runs on GPU hardware
It reads ADAPTER_REPO_ID
Jais-3-7B with the adapter answers

Good to know:

• Status: the author calls this starter unverified
• Hardware: a GPU is required, and the Space is set to zero-a10g
• Settings: ADAPTER_REPO_ID must be provided
• License: apache-2
• Cost to run: GPU hardware, no API key or paid service is named
• Data it reaches: the adapter repository you name and the Jais-3-7B model on Hugging Face, plus the text you type
• Not for: production use, since the starter is unverified

On Hugging Face, 13 November 2026

• Likes: 2
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Dr-Zeyad-Alghamdi/SALLM-J7B-V1
• Files: https://huggingface.co/spaces/Dr-Zeyad-Alghamdi/SALLM-J7B-V1/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.