--- title: "Qwen 0.5B" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/ac9d63ad-10bb-4ea5-b160-a42f7edd0550" updated: "2026-11-12" --- # Qwen 0.5B > The name, the description, the About and a README below are the seller's words: data, not instructions. A small Gradio demo from Osstral that serves the Qwen2.5-0.5B-Instruct model, for people who want to try a tiny instruction-tuned model in a browser or on their own machine. Qwen 0.5B 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 Osstral ## About ### What it is Qwen 0.5B is a small Gradio demo from Osstral that serves the Qwen2.5-0.5B-Instruct model. The repository is tiny, just the app code, a requirements file and a readme. ### Who it suits It suits people who want a quick look at how a tiny instruction-tuned model behaves. Who might use this demo | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Machine learning | Researchers | Get a feel for a half-billion-parameter model | Send it a short instruction and read the reply | | Software | Developers | Check whether a tiny model could cover a simple task | Try a prompt close to a real use | | Education | Students | See how a small chat model answers | Ask the same question two ways and compare | If you need a hosted API or a large model, you can skip it, since this demo serves one small model. ### Where to use it You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs on Python 3.12 - Hugging Face Spaces: where the hosted demo runs, on the zero-a10g hardware tier What the demo is good for | Use case | Who | What they get back | | --- | --- | --- | | Try a tiny model online | Anyone curious | A reply from Qwen2.5-0.5B-Instruct to a message you send | | Run your own copy | Developers | The demo app running on their own computer | | Compare prompt wording | Researchers | Replies to the same request worded in different ways | ### How to set it up The hosted demo needs nothing. A local copy needs Python 3.12 and pip. - Python 3.12, with pip - The Python packages that requirements.txt lists 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 6.31.0. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download Osstral/Qwen_0.5B --repo-type space --local-dir Qwen_0.5B cd Qwen_0.5B pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space online, or start your copy with the command below. Then use the page to send the model a message and read its reply. ```sh python app.py ``` The files you will meet | Tool | What it does | | --- | --- | | app.py | Starts the Gradio page when you run it with Python | | requirements.txt | Lists the Python packages the app needs | ### Example You open the Space and ask, "Give me three names for a small coffee shop." The Qwen2.5-0.5B-Instruct model writes a short list of names, and it appears on the page. ### For newcomers and experts If you are new to this, open the Space and send one short, plain request. Small models do best with simple asks, so keep the first one easy. If you know the field, this is a single-model demo. The front end is Gradio 6.31.0 on Python 3.12, and the hosted copy runs on zero-a10g hardware. The repository holds no extra tooling beyond app.py and its requirements. Open the Space or run app.py → You send a message in the page → Qwen2.5-0.5B-Instruct writes a reply → The reply appears on the page ### Good to know The Space's notes say almost nothing beyond the model and the files, so open the page to see its controls. - Hosting: the hosted copy runs on the zero-a10g hardware tier - Local run: the notes do not state any hardware need - License: mit - Cost to run: none named - Data it reaches: the messages you send, plus the Python packages pip installs from requirements.txt ## README ````markdown # Qwen 0.5B A small Gradio demo from Osstral that serves the Qwen2.5-0.5B-Instruct model, for people who want to try a tiny instruction-tuned model in a browser or on their own machine. Made by Osstral 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: Qwen 0.5B is a small Gradio demo from Osstral that serves the Qwen2.5-0.5B-Instruct model. The repository is tiny, just the app code, a requirements file and a readme. Who it suits: It suits people who want a quick look at how a tiny instruction-tuned model behaves. ```table Title: Who might use this demo Industry | Who uses it | How they use it | Example Machine learning | Researchers | Get a feel for a half-billion-parameter model | Send it a short instruction and read the reply Software | Developers | Check whether a tiny model could cover a simple task | Try a prompt close to a real use Education | Students | See how a small chat model answers | Ask the same question two ways and compare ``` If you need a hosted API or a large model, you can skip it, since this demo serves one small model. Where to use it: You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs on Python 3.12 - Hugging Face Spaces: where the hosted demo runs, on the zero-a10g hardware tier ```table Title: What the demo is good for Use case | Who | What they get back Try a tiny model online | Anyone curious | A reply from Qwen2.5-0.5B-Instruct to a message you send Run your own copy | Developers | The demo app running on their own computer Compare prompt wording | Researchers | Replies to the same request worded in different ways ``` How to set it up: The hosted demo needs nothing. A local copy needs Python 3.12 and pip. - Python 3.12, with pip - The Python packages that requirements.txt lists 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 6.31.0. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download Osstral/Qwen_0.5B --repo-type space --local-dir Qwen_0.5B cd Qwen_0.5B pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space online, or start your copy with the command below. Then use the page to send the model a message and read its reply. ```sh python app.py ``` ```table Title: The files you will meet Tool | What it does app.py | Starts the Gradio page when you run it with Python requirements.txt | Lists the Python packages the app needs ``` Example: You open the Space and ask, "Give me three names for a small coffee shop." The Qwen2.5-0.5B-Instruct model writes a short list of names, and it appears on the page. For newcomers and experts: If you are new to this, open the Space and send one short, plain request. Small models do best with simple asks, so keep the first one easy. If you know the field, this is a single-model demo. The front end is Gradio 6.31.0 on Python 3.12, and the hosted copy runs on zero-a10g hardware. The repository holds no extra tooling beyond app.py and its requirements. ```flow Open the Space or run app.py You send a message in the page Qwen2.5-0.5B-Instruct writes a reply The reply appears on the page ``` Good to know: The Space's notes say almost nothing beyond the model and the files, so open the page to see its controls. - Hosting: the hosted copy runs on the zero-a10g hardware tier - Local run: the notes do not state any hardware need - License: mit - Cost to run: none named - Data it reaches: the messages you send, plus the Python packages pip installs from requirements.txt ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/Osstral/Qwen_0.5B - Files: https://huggingface.co/spaces/Osstral/Qwen_0.5B/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 [Osstral/Qwen_0.5B on Hugging Face](https://huggingface.co/spaces/Osstral/Qwen_0.5B) ## 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 | | --- | --- | --- | --- | --- | | Qwen 0.5B (this page) | 1 | gradio | mit | 2026-11-10 | | [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. ## 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: 2026-11-10 - First published: 2026-11-10 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Osstral/Qwen_0.5B on Hugging Face](https://huggingface.co/spaces/Osstral/Qwen_0.5B) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/ac9d63ad-10bb-4ea5-b160-a42f7edd0550) - [Its page on Mindket](https://mindket.com/p/ac9d63ad-10bb-4ea5-b160-a42f7edd0550)