--- title: "Qwen2.5-0.5B QLoRA Demo" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/4fb1c133-df42-4de2-8268-8451b97c3b7d" updated: "2026-11-12" --- # Qwen2.5-0.5B QLoRA Demo > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio demo for a small fine-tuned Qwen2.5 0.5B instruct model in GGUF form. Lets developers and learners try the compact model in a browser without installing anything. Qwen2.5-0.5B QLoRA Demo 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 shambhuraje ## About ### What it is This Space is a live demo of one small language model, a fine-tuned Qwen2.5 0.5B instruct build stored in GGUF form. The page lets you try that model in a browser, so you can judge how a compact model answers before you download anything. ### Who it suits Developers and learners who want to try a tiny fine-tuned model, and people who want a short example of a Gradio demo wrapped around a model. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Test how a small model answers | Send a short prompt and read the reply | | Education | Students of fine-tuning | See what a tuned compact model does | Compare its answer with a larger model they know | | Research | Hobbyist researchers | Check a fine-tune before downloading it | Try a few prompts on the page first | | Product teams | Prototype builders | Judge whether a small model could fit an app | Try prompts that resemble their own use | If you need a large, general model for hard questions, a half billion parameter model is a weak match. ### Where to use it It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python | Use case | Who | What they get back | | --- | --- | --- | | Try the model | Developers and learners | Replies from the fine-tuned model on the page | | Study the demo | Beginners | A short app.py that wraps the model in Gradio | | Run your own copy | Builders | The same page on your own computer | ### How to set it up Using it online needs nothing. A local copy needs a few things. - Python and pip - The packages listed in requirements.txt 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download shambhuraje/qwen2.5-0.5b-demo --repo-type space --local-dir qwen2.5-0.5b-demo cd qwen2.5-0.5b-demo pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page and use the input the app shows to send the model a prompt. Read the reply on the same page. Run python app.py in a local copy to get the same page on your own computer. ### Example You open the Space and send the model one short instruction. The page shows the model's reply, which gives you a first sense of how a tiny tuned model writes. ### For newcomers and experts A small model answers quickly but knows less than a big one. Try three short prompts of different kinds and note where it does well and where it slips. The page rests on one named model, a fine-tuned build of Qwen2.5 0.5B instruct. GGUF is a compact file format used for running models on modest hardware. The repository holds only app.py, requirements.txt and a README. You type a prompt on the page → The Gradio app passes it to the model → The small fine-tuned model writes a reply → The reply shows on the page ### Good to know The README is a single line, so training data and quality are not described. - License: Apache 2.0 - Cost to run: none named - Data it reaches: the prompts you type into the page ## README ````markdown # Qwen2.5-0.5B QLoRA Demo A Gradio demo for a small fine-tuned Qwen2.5 0.5B instruct model in GGUF form. Lets developers and learners try the compact model in a browser without installing anything. Made by shambhuraje 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 live demo of one small language model, a fine-tuned Qwen2.5 0.5B instruct build stored in GGUF form. The page lets you try that model in a browser, so you can judge how a compact model answers before you download anything. Who it suits: Developers and learners who want to try a tiny fine-tuned model, and people who want a short example of a Gradio demo wrapped around a model. ```table Industry | Who uses it | How they use it | Example Software | Developers | Test how a small model answers | Send a short prompt and read the reply Education | Students of fine-tuning | See what a tuned compact model does | Compare its answer with a larger model they know Research | Hobbyist researchers | Check a fine-tune before downloading it | Try a few prompts on the page first Product teams | Prototype builders | Judge whether a small model could fit an app | Try prompts that resemble their own use ``` If you need a large, general model for hard questions, a half billion parameter model is a weak match. Where to use it: It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python ```table Use case | Who | What they get back Try the model | Developers and learners | Replies from the fine-tuned model on the page Study the demo | Beginners | A short app.py that wraps the model in Gradio Run your own copy | Builders | The same page on your own computer ``` How to set it up: Using it online needs nothing. A local copy needs a few things. - Python and pip - The packages listed in requirements.txt 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download shambhuraje/qwen2.5-0.5b-demo --repo-type space --local-dir qwen2.5-0.5b-demo cd qwen2.5-0.5b-demo pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space page and use the input the app shows to send the model a prompt. Read the reply on the same page. Run python app.py in a local copy to get the same page on your own computer. Example: You open the Space and send the model one short instruction. The page shows the model's reply, which gives you a first sense of how a tiny tuned model writes. For newcomers and experts: A small model answers quickly but knows less than a big one. Try three short prompts of different kinds and note where it does well and where it slips. The page rests on one named model, a fine-tuned build of Qwen2.5 0.5B instruct. GGUF is a compact file format used for running models on modest hardware. The repository holds only app.py, requirements.txt and a README. ```flow You type a prompt on the page The Gradio app passes it to the model The small fine-tuned model writes a reply The reply shows on the page ``` Good to know: The README is a single line, so training data and quality are not described. - License: Apache 2.0 - Cost to run: none named - Data it reaches: the prompts you type into the page ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/shambhuraje/qwen2.5-0.5b-demo - Files: https://huggingface.co/spaces/shambhuraje/qwen2.5-0.5b-demo/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 [shambhuraje/qwen2.5-0.5b-demo on Hugging Face](https://huggingface.co/spaces/shambhuraje/qwen2.5-0.5b-demo) ## 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 | | --- | --- | --- | --- | --- | | Qwen2.5-0.5B QLoRA Demo (this page) | 1 | gradio | apache-2.0 | 2026-11-06 | | [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: 2026-11-06 - First published: 2026-11-06 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open shambhuraje/qwen2.5-0.5b-demo on Hugging Face](https://huggingface.co/spaces/shambhuraje/qwen2.5-0.5b-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/4fb1c133-df42-4de2-8268-8451b97c3b7d) - [Its page on Mindket](https://mindket.com/p/4fb1c133-df42-4de2-8268-8451b97c3b7d)