--- title: "Factorial Base 48M Chat" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/d0887330-d187-474e-a79f-c7c160bc2e41" updated: "2026-11-12" --- # Factorial Base 48M Chat > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs a chat demo of a small language model called Factorial\_IT\_ULTIME\_TinyLM in the browser on ZeroGPU hardware, with code for running a copy on your own computer. Factorial Base 48M Chat 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 bull220202 ## About ### What it is This Space is a Gradio chat demo built around a small language model named Factorial\_IT\_ULTIME\_TinyLM. Its title points to a 48M size. You open it in a browser and chat with the model without installing anything. The repository holds only the app and a list of Python packages. ### Who it suits It suits people who want to try a tiny language model in a chat window, and developers who want the demo's code as a starting point for their own. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Language model hobbyists and researchers | Chat with a tiny model to see what it can and cannot do | Send a few short prompts and read the replies | | Software | Developers | Read app.py to see how a small model is wired into Gradio | Copy the Space and swap in another model | | Education | Students | Use the hosted chat as a hands-on look at a small model | Compare its answers with a larger chat model | You can skip it if you want a finished assistant, since this is a small model demo and its code. ### Where to use it - A web browser: open the Space page on Hugging Face, where it runs on zero-a10g hardware. - Windows, macOS or Linux: run a copy with Python 3.12. | Use case | Who | What they get back | | --- | --- | --- | | Chat with the model | Anyone curious | Replies from the small model in the browser | | Study the code | Developers | A short app file and a package list | | Run a private copy | Developers | A copy that starts with python app.py | ### How to set it up The hosted page needs nothing from you. A local copy needs these two things first. The repository does not say what hardware a local copy needs. - Python 3.12 on Windows, macOS or Linux. - pip, which installs the packages. 1. Install the huggingface\_hub package with pip. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install Gradio 6.31.0, then the packages listed in requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` Put your own value in its key setting first. ### How to use it Online, open the Space page and chat there. On your own computer, run the last command above inside the downloaded folder and use the chat it starts. | Tool | What it does | | --- | --- | | app.py | Starts the Gradio chat demo | | requirements.txt | Lists the Python packages the app needs | ### Example You open the Space page and type a short message into the chat box. The small model replies in the same window. In your own copy, python app.py starts the same chat from your machine. ### For newcomers and experts If you are new, open the hosted chat and send a few short messages. Nothing needs installing, and the replies show what a tiny model can do. Copy the Space to your computer afterwards if you want to look inside. If you know the field, the Space is one app.py on Gradio 6.31.0 and Python 3.12, running on ZeroGPU, and it names a single model repository. The README is only the standard configuration note, so it gives no training data, size figures or evaluation. Open the Space or run app.py → Gradio starts the chat interface → You chat with the small model ### Good to know No details about training, limits or quality are documented in the repository, so expect a small model to be rough. - License: cc-by-4 - Cost to run: none named - Data it reaches: none named ## README ````markdown # Factorial Base 48M Chat Runs a chat demo of a small language model called Factorial_IT_ULTIME_TinyLM in the browser on ZeroGPU hardware, with code for running a copy on your own computer. Made by bull220202 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 chat demo built around a small language model named Factorial_IT_ULTIME_TinyLM. Its title points to a 48M size. You open it in a browser and chat with the model without installing anything. The repository holds only the app and a list of Python packages. Who it suits: It suits people who want to try a tiny language model in a chat window, and developers who want the demo's code as a starting point for their own. ```table Industry | Who uses it | How they use it | Example Research | Language model hobbyists and researchers | Chat with a tiny model to see what it can and cannot do | Send a few short prompts and read the replies Software | Developers | Read app.py to see how a small model is wired into Gradio | Copy the Space and swap in another model Education | Students | Use the hosted chat as a hands-on look at a small model | Compare its answers with a larger chat model ``` You can skip it if you want a finished assistant, since this is a small model demo and its code. Where to use it: - A web browser: open the Space page on Hugging Face, where it runs on zero-a10g hardware. - Windows, macOS or Linux: run a copy with Python 3.12. ```table Use case | Who | What they get back Chat with the model | Anyone curious | Replies from the small model in the browser Study the code | Developers | A short app file and a package list Run a private copy | Developers | A copy that starts with python app.py ``` How to set it up: The hosted page needs nothing from you. A local copy needs these two things first. The repository does not say what hardware a local copy needs. - Python 3.12 on Windows, macOS or Linux. - pip, which installs the packages. 1. Install the huggingface_hub package with pip. 2. Download the Space's files into a folder with the hf command. 3. Move into that folder. 4. Install Gradio 6.31.0, then the packages listed in requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` Put your own value in its key setting first. How to use it: Online, open the Space page and chat there. On your own computer, run the last command above inside the downloaded folder and use the chat it starts. ```table Tool | What it does app.py | Starts the Gradio chat demo requirements.txt | Lists the Python packages the app needs ``` Example: You open the Space page and type a short message into the chat box. The small model replies in the same window. In your own copy, python app.py starts the same chat from your machine. For newcomers and experts: If you are new, open the hosted chat and send a few short messages. Nothing needs installing, and the replies show what a tiny model can do. Copy the Space to your computer afterwards if you want to look inside. If you know the field, the Space is one app.py on Gradio 6.31.0 and Python 3.12, running on ZeroGPU, and it names a single model repository. The README is only the standard configuration note, so it gives no training data, size figures or evaluation. ```flow Open the Space or run app.py Gradio starts the chat interface You chat with the small model ``` Good to know: No details about training, limits or quality are documented in the repository, so expect a small model to be rough. - License: cc-by-4 - Cost to run: none named - Data it reaches: none named ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: cc-by-4.0 ## Links - Space: https://huggingface.co/spaces/bull220202/Factorial-Base-48M-Chat - Files: https://huggingface.co/spaces/bull220202/Factorial-Base-48M-Chat/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 [bull220202/Factorial-Base-48M-Chat on Hugging Face](https://huggingface.co/spaces/bull220202/Factorial-Base-48M-Chat) ## 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 | | --- | --- | --- | --- | --- | | Factorial Base 48M Chat (this page) | 1 | gradio | cc-by-4.0 | 2026-11-07 | | [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: 2026-11-07 - First published: 2026-11-06 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open bull220202/Factorial-Base-48M-Chat on Hugging Face](https://huggingface.co/spaces/bull220202/Factorial-Base-48M-Chat) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d0887330-d187-474e-a79f-c7c160bc2e41) - [Its page on Mindket](https://mindket.com/p/d0887330-d187-474e-a79f-c7c160bc2e41)