Saudi SALLM A7B V1 Demo

Saudi SALLM A7B V1 Demo

Lets you try a research language model adapter on top of ALLaM-7B-Instruct-preview from a browser page, for people who test and compare language models.

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 Gradio demo that pairs the base model ALLaM-7B-Instruct-preview with adapter files kept in its own repository. The author calls it a research demonstration and says the deployment has not been tested. It runs on GPU hardware at Hugging Face.

Who it suits: People who study or compare language models and want a quick look at one adapter without installing anything.

Industry | Who uses it | How they use it | Example
Research | Language model researchers | Try the adapter in a browser before deeper tests | Open the Space page and send a test message
Education | Students of machine learning | See how an adapter sits on a base model | Read app.py next to the adapter files
Software | Developers building Gradio apps | Reuse the layout as a starting point | Point a copy at their own adapter

Anyone who needs a finished, supported product can skip it, since the author flags it as untested.

Where to use it:

• A browser, on the Space's page at 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 the model | Researchers | Generated text from the demo
Inspect the setup | Developers | A short Gradio app they can read and change

How to set it up:

• Python and pip on Windows, macOS or Linux
• GPU hardware, which the README says is required
• ADAPTER_REPO_ID set as a Space variable
• HF_TOKEN as a secret, only when the adapter repository is private

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-A7B-V1 --repo-type space --local-dir SALLM-A7B-V1
cd SALLM-A7B-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 last command below 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
adapter_model.safetensors | Holds the adapter weights
tokenizer.json | Holds the tokenizer data

Example: Open the Space's page, enter a short question for the model, and read the text it generates. The reply comes from the base model with the adapter in place.

For newcomers and experts: If you are new to this, open the Space's page and send one short message. That single test shows what the demo does, and nothing needs to be installed.

If you know the field, note that the repository holds adapter_config.json and adapter_model.safetensors, the usual files of an adapter that sits on a base model, plus tokenizer files and a chat template. The Space runs on the zero-a10g hardware setting, so it trades convenience for a GPU requirement and an untested deployment.

You open the Gradio page
app.py runs on GPU hardware
It reads ADAPTER_REPO_ID
The model with its adapter answers

Good to know:

• Status: the author calls it a research demonstration and says deployment is untested
• Hardware: GPU hardware is required, and the Space is set to zero-a10g
• Variables: ADAPTER_REPO_ID is needed, HF_TOKEN is optional for private repositories
• License: apache-2
• Cost to run: GPU hardware, plus an HF_TOKEN only when the adapter repository is private, no paid service is named
• Data it reaches: the adapter repository named in ADAPTER_REPO_ID and the base model on Hugging Face, plus the text you type
• Not for: production use, since the README calls the deployment untested

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-A7B-V1
• Files: https://huggingface.co/spaces/Dr-Zeyad-Alghamdi/SALLM-A7B-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.