--- title: "Saudi SALLM Q9B V1 Demo" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/44ccbaff-f0a6-472c-af17-102f8dc94aa7" updated: "2026-11-12" --- # Saudi SALLM Q9B V1 Demo > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs a Gradio research demo of a private adapter on the Qwen3.5-9B language model from a browser page, for people who test models on GPU hardware. Saudi SALLM Q9B V1 Demo is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Dr-Zeyad-Alghamdi ## About ### What it is This Space is a Gradio demo that combines the Qwen3.5-9B base model with an adapter repository named SALLM-Q9B-Private. The author labels it a research demonstration and says deployment is untested. It runs on GPU hardware at Hugging Face. ### Who it suits People who study or compare language models and want a short way to try one adapter in a browser. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Language model researchers | Try an adapter on Qwen3.5-9B before deeper tests | Send a test message from the Space page | | Education | Machine learning students | See how an adapter is attached to a base model | Read app.py and requirements.txt | | Software | Developers building Gradio apps | Reuse the three-file layout | Point a copy at a different adapter | Anyone who needs a supported, tested product 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 the adapter | Researchers | Generated text from the demo | | Study the setup | Students and developers | A short app with only three files | ### 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 if 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. ```sh pip install -U huggingface_hub hf download Dr-Zeyad-Alghamdi/SALLM-Q9B-V1 --repo-type space --local-dir SALLM-Q9B-V1 cd SALLM-Q9B-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. ```sh 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 research note and the variable settings | ### Example Visit the Space, enter a short question, and read the text the model generates. The reply comes from Qwen3.5-9B with the adapter in place, if the adapter repository loads. ### For newcomers and experts If you are new, start by visiting the Space and sending one short message. You will see at once whether the demo is running. If you know the field, the app is only three files, and the adapter is pulled from a repository named by ADAPTER\_REPO\_ID. The listed models are a private adapter repository and Qwen3.5-9B. The Space is set to the zero-a10g hardware, so the trade-off is a GPU requirement and an untested deployment. You visit the Gradio page → app.py runs on GPU hardware → It reads ADAPTER\_REPO\_ID → Qwen3.5-9B with the 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 for a private adapter repository, no paid service is named - Data it reaches: the adapter repository and the Qwen3.5-9B model on Hugging Face, plus the text you type - Not for: production use, since the README calls the deployment untested ## README ````markdown # Saudi SALLM Q9B V1 Demo Runs a Gradio research demo of a private adapter on the Qwen3.5-9B language model from a browser page, for people who test models 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 Gradio demo that combines the Qwen3.5-9B base model with an adapter repository named SALLM-Q9B-Private. The author labels it a research demonstration and says deployment is untested. It runs on GPU hardware at Hugging Face. Who it suits: People who study or compare language models and want a short way to try one adapter in a browser. ```table Industry | Who uses it | How they use it | Example Research | Language model researchers | Try an adapter on Qwen3.5-9B before deeper tests | Send a test message from the Space page Education | Machine learning students | See how an adapter is attached to a base model | Read app.py and requirements.txt Software | Developers building Gradio apps | Reuse the three-file layout | Point a copy at a different adapter ``` Anyone who needs a supported, tested product 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 ```table Use case | Who | What they get back Try the adapter | Researchers | Generated text from the demo Study the setup | Students and developers | A short app with only three files ``` 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 if 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. ```sh pip install -U huggingface_hub hf download Dr-Zeyad-Alghamdi/SALLM-Q9B-V1 --repo-type space --local-dir SALLM-Q9B-V1 cd SALLM-Q9B-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. ```sh python app.py ``` ```table Tool | What it does app.py | Starts the Gradio interface requirements.txt | Lists the Python packages to install README.md | Holds the research note and the variable settings ``` Example: Visit the Space, enter a short question, and read the text the model generates. The reply comes from Qwen3.5-9B with the adapter in place, if the adapter repository loads. For newcomers and experts: If you are new, start by visiting the Space and sending one short message. You will see at once whether the demo is running. If you know the field, the app is only three files, and the adapter is pulled from a repository named by ADAPTER_REPO_ID. The listed models are a private adapter repository and Qwen3.5-9B. The Space is set to the zero-a10g hardware, so the trade-off is a GPU requirement and an untested deployment. ```flow You visit the Gradio page app.py runs on GPU hardware It reads ADAPTER_REPO_ID Qwen3.5-9B with the 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 for a private adapter repository, no paid service is named - Data it reaches: the adapter repository and the Qwen3.5-9B 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-Q9B-V1 - Files: https://huggingface.co/spaces/Dr-Zeyad-Alghamdi/SALLM-Q9B-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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Dr-Zeyad-Alghamdi/SALLM-Q9B-V1 on Hugging Face](https://huggingface.co/spaces/Dr-Zeyad-Alghamdi/SALLM-Q9B-V1) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Saudi SALLM Q9B V1 Demo (this page) | 2 | gradio | apache-2.0 | 2026-11-11 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-11 - First published: 2026-11-09 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Dr-Zeyad-Alghamdi/SALLM-Q9B-V1 on Hugging Face](https://huggingface.co/spaces/Dr-Zeyad-Alghamdi/SALLM-Q9B-V1) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/44ccbaff-f0a6-472c-af17-102f8dc94aa7) - [Its page on Mindket](https://mindket.com/p/44ccbaff-f0a6-472c-af17-102f8dc94aa7)