--- title: "SmolVLM" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/098650bd-b210-4cbd-9fab-b683de2b2f79" updated: "2026-11-12" --- # SmolVLM > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio demo from HuggingFaceTB for the SmolVLM2-2.2B-Instruct model, with example images included, that runs online in the browser or on your computer with Python 3.10. SmolVLM is a kit in the Developer 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 HuggingFaceTB ## About ### What it is SmolVLM is a Gradio demo that HuggingFaceTB published as a Hugging Face Space. It names the HuggingFaceTB/SmolVLM2-2.2B-Instruct model, and its repository holds a folder of example images beside app.py. At Hugging Face it runs on zero-a10g hardware. ### Who it suits People who want to try the SmolVLM2 model in a browser, and developers who want the demo's files to read or run themselves. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Machine learning | Model testers | Open the Space to try the model it names | Looking at how the model handles the example images | | Software development | Gradio developers | Download the files and read app.py | Studying how a model demo is wired up in Gradio | | Education | Students | Run a copy with Python 3.10 on their own machine | Following the listed steps from download to launch | Skip it if you want a hosted service with an API, since this is an app you open or run yourself. ### Where to use it SmolVLM runs in these places. - A web browser: open the Space's page on Hugging Face - Python 3.10 on Windows, macOS or Linux: run a copy of the Space | Use case | Who | What they get back | | --- | --- | --- | | Try it online | Anyone with a browser | The Gradio demo running from the Space | | Run it locally | Developers with Python 3.10 | A copy of the app started from app.py | | Read the code | Learners | The main file, a requirements list and the example images | ### How to set it up Online use needs only a browser. A local copy needs a few things first. - A web browser for the online Space - Python 3.10 on Windows, macOS or Linux for a local copy - The Python packages listed in requirements.txt 1. Install the Hugging Face hub library with pip. 2. Download the Space's files into a folder called SmolVLM2. 3. Move into that folder. 4. Install Gradio at the version the Space uses. 5. Install the packages listed in requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download HuggingFaceTB/SmolVLM2 --repo-type space --local-dir SmolVLM2 cd SmolVLM2 pip install gradio==5.38.2 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space's page and use the demo in your tab. On your own computer, start it from the folder with the command below. ```sh python app.py ``` | Tool | What it does | | --- | --- | | python app.py | Starts the Gradio app from the main file | | pip install -r requirements.txt | Installs the packages the app needs | | hf download | Fetches the Space's files into a local folder | ### Example You download the Space with the hf command, install Gradio 5.38.2 and the listed packages, then run python app.py. The demo starts from your local copy of the files. ### For newcomers and experts If you are new, open the Space's page and look at the example images it ships with. Running it online needs no setup, so start there before you try a local copy. If you know Gradio, the setup is plain: one main file, a requirements list, Python 3.10 and Gradio 5.38.2. A local copy pins that same version. The Space itself uses zero-a10g hardware at Hugging Face, so a local run depends on your own machine. Open the Space or run app.py → Gradio serves the demo → You use it in your browser ### Good to know It is a single Gradio demo, so what you can do is limited to what its page offers. - Version: Gradio 5.38.2 and Python 3.10 - Model: HuggingFaceTB/SmolVLM2-2.2B-Instruct - Size: 18 files in the repository - License: apache-2 - Cost to run: none named - Data it reaches: the model it names, none else named - Not for: no forbidden uses are named ## README ````markdown # SmolVLM A Gradio demo from HuggingFaceTB for the SmolVLM2-2.2B-Instruct model, with example images included, that runs online in the browser or on your computer with Python 3.10. Made by HuggingFaceTB 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: SmolVLM is a Gradio demo that HuggingFaceTB published as a Hugging Face Space. It names the HuggingFaceTB/SmolVLM2-2.2B-Instruct model, and its repository holds a folder of example images beside app.py. At Hugging Face it runs on zero-a10g hardware. Who it suits: People who want to try the SmolVLM2 model in a browser, and developers who want the demo's files to read or run themselves. ```table Industry | Who uses it | How they use it | Example Machine learning | Model testers | Open the Space to try the model it names | Looking at how the model handles the example images Software development | Gradio developers | Download the files and read app.py | Studying how a model demo is wired up in Gradio Education | Students | Run a copy with Python 3.10 on their own machine | Following the listed steps from download to launch ``` Skip it if you want a hosted service with an API, since this is an app you open or run yourself. Where to use it: SmolVLM runs in these places. - A web browser: open the Space's page on Hugging Face - Python 3.10 on Windows, macOS or Linux: run a copy of the Space ```table Use case | Who | What they get back Try it online | Anyone with a browser | The Gradio demo running from the Space Run it locally | Developers with Python 3.10 | A copy of the app started from app.py Read the code | Learners | The main file, a requirements list and the example images ``` How to set it up: Online use needs only a browser. A local copy needs a few things first. - A web browser for the online Space - Python 3.10 on Windows, macOS or Linux for a local copy - The Python packages listed in requirements.txt 1. Install the Hugging Face hub library with pip. 2. Download the Space's files into a folder called SmolVLM2. 3. Move into that folder. 4. Install Gradio at the version the Space uses. 5. Install the packages listed in requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download HuggingFaceTB/SmolVLM2 --repo-type space --local-dir SmolVLM2 cd SmolVLM2 pip install gradio==5.38.2 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space's page and use the demo in your tab. On your own computer, start it from the folder with the command below. ```sh python app.py ``` ```table Tool | What it does python app.py | Starts the Gradio app from the main file pip install -r requirements.txt | Installs the packages the app needs hf download | Fetches the Space's files into a local folder ``` Example: You download the Space with the hf command, install Gradio 5.38.2 and the listed packages, then run python app.py. The demo starts from your local copy of the files. For newcomers and experts: If you are new, open the Space's page and look at the example images it ships with. Running it online needs no setup, so start there before you try a local copy. If you know Gradio, the setup is plain: one main file, a requirements list, Python 3.10 and Gradio 5.38.2. A local copy pins that same version. The Space itself uses zero-a10g hardware at Hugging Face, so a local run depends on your own machine. ```flow Open the Space or run app.py Gradio serves the demo You use it in your browser ``` Good to know: It is a single Gradio demo, so what you can do is limited to what its page offers. - Version: Gradio 5.38.2 and Python 3.10 - Model: HuggingFaceTB/SmolVLM2-2.2B-Instruct - Size: 18 files in the repository - License: apache-2 - Cost to run: none named - Data it reaches: the model it names, none else named - Not for: no forbidden uses are named ## On Hugging Face, 13 November 2026 - Likes: 84 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM2 - Files: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM2/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 [HuggingFaceTB/SmolVLM2 on Hugging Face](https://huggingface.co/spaces/HuggingFaceTB/SmolVLM2) ## 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 | | --- | --- | --- | --- | --- | | SmolVLM (this page) | 84 | gradio | apache-2.0 | 2026-07-14 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · simbaz · 2026-02-19](https://news.ycombinator.com/item?id=47079357): Show HN: I built Aegis AI – An Agentic Home Security w/ GPT+Local VLM on Mac/PC: The world's first AI Home Security Agent for your home. Runs on your Mac or PC — even a Mac M1 Mini with 8GB RAM can deploy a LFM2.5 model for video analysis. Connect any camera you already own — Ring, Blink, DaHua, HikVision, Reolink, any RTSP/ONVIF IP camera, your laptop's webcam, or even an old… - [Hacker News · fsiefken · 2026-01-26](https://news.ycombinator.com/item?id=46766571): Show HN: Only 1 LLM can fly a drone: I am curious how these models would perform and how much energy they'd take to semi-realtime detect objects: SmolVLM2-500M - Moondream 0.5B/2B/2.5B - Qwen3-VL (3B) https://huggingface.co/collections/Qwen/qwen3-vl I am sure this is already worked on in Russia, Ukraine and The Netherlands. A lot can… ## 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: 2026-07-14 - First published: 2025-02-10 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open HuggingFaceTB/SmolVLM2 on Hugging Face](https://huggingface.co/spaces/HuggingFaceTB/SmolVLM2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/098650bd-b210-4cbd-9fab-b683de2b2f79) - [Its page on Mindket](https://mindket.com/p/098650bd-b210-4cbd-9fab-b683de2b2f79)