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A Gradio demo from openbmb where you try the MiniCPM5-2B language model in a browser, or run a copy of the app yourself with Python 3.12.
MiniCPM5 2B Demo is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download openbmb/MiniCPM5-2B-Demo --repo-type space --local-dir MiniCPM5-2B-Demo cd MiniCPM5-2B-Demo
MiniCPM5 2B Demo is a Gradio app from openbmb that lets you try the MiniCPM5-2B language model without setting up the model yourself. The repository holds the app code, a page file, an assets folder and a file named utils_chatbot.py.
It suits people who want a quick feel for a small language model before they commit to using it.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Machine learning | Researchers | Try the model before downloading its weights | Send it a short question in the browser |
| Software | Developers | Judge whether a 2B model fits a feature they have in mind | Test a prompt close to what their app would send |
| Education | Students | See how a small chat model answers | Ask the same question twice and compare the replies |
If you need a hosted API or a fine-tuning setup, you can skip it, since the notes describe neither.
You can use it online or on your own machine.
| Use case | Who | What they get back |
|---|---|---|
| Try the model online | Anyone curious | A reply from MiniCPM5-2B to a message you send |
| Run your own copy | Developers | The demo app running on their own computer |
| Compare prompts | Researchers | Replies to prompts worded in different ways |
The hosted demo needs nothing. A local copy needs Python 3.12 and pip.
pip install -U huggingface_hub hf download openbmb/MiniCPM5-2B-Demo --repo-type space --local-dir MiniCPM5-2B-Demo cd MiniCPM5-2B-Demo pip install gradio==6.14.0 pip install -r requirements.txt python app.py
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.
python app.py
| Tool | What it does |
|---|---|
| app.py | Starts the Gradio page when you run it with Python |
| utils_chatbot.py | Helper code for the chat side of the app, going by its name |
| requirements.txt | Lists the Python packages the app needs |
You open the Space and ask, "Explain what a vector database is in two sentences." The MiniCPM5-2B model writes a short answer, and it appears on the page.
If you are new to this, open the Space and send one short question. Read the reply before you try anything longer.
If you know the field, the demo front end is Gradio 6.14.0 on Python 3.12, and the hosted copy runs on zero-a10g hardware. The notes do not say what a local copy needs for speed, so check the model's own page before you plan a local run.
The Space's notes name little beyond the model and the files, so open the page to see its controls.
A Gradio demo from openbmb where you try the MiniCPM5-2B language model in a browser, or run a copy of the app yourself with Python 3.12.
Made by openbmb 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.
What it is: MiniCPM5 2B Demo is a Gradio app from openbmb that lets you try the MiniCPM5-2B language model without setting up the model yourself. The repository holds the app code, a page file, an assets folder and a file named utils_chatbot.py.
Who it suits: It suits people who want a quick feel for a small language model before they commit to using it.
Title: Who might use this demo
Industry | Who uses it | How they use it | Example
Machine learning | Researchers | Try the model before downloading its weights | Send it a short question in the browser
Software | Developers | Judge whether a 2B model fits a feature they have in mind | Test a prompt close to what their app would send
Education | Students | See how a small chat model answers | Ask the same question twice and compare the replies
If you need a hosted API or a fine-tuning setup, you can skip it, since the notes describe neither.
Where to use it: You can use it online or on your own machine.
Title: What the demo is good for
Use case | Who | What they get back
Try the model online | Anyone curious | A reply from MiniCPM5-2B to a message you send
Run your own copy | Developers | The demo app running on their own computer
Compare prompts | Researchers | Replies to prompts worded in different ways
How to set it up: The hosted demo needs nothing. A local copy needs Python 3.12 and pip.
pip install -U huggingface_hub
hf download openbmb/MiniCPM5-2B-Demo --repo-type space --local-dir MiniCPM5-2B-Demo
cd MiniCPM5-2B-Demo
pip install gradio==6.14.0
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.
python app.py
Title: The files you will meet
Tool | What it does
app.py | Starts the Gradio page when you run it with Python
utils_chatbot.py | Helper code for the chat side of the app, going by its name
requirements.txt | Lists the Python packages the app needs
Example: You open the Space and ask, "Explain what a vector database is in two sentences." The MiniCPM5-2B model writes a short answer, and it appears on the page.
For newcomers and experts: If you are new to this, open the Space and send one short question. Read the reply before you try anything longer.
If you know the field, the demo front end is Gradio 6.14.0 on Python 3.12, and the hosted copy runs on zero-a10g hardware. The notes do not say what a local copy needs for speed, so check the model's own page before you plan a local run.
Open the Space or run app.py
You send a message in the page
The MiniCPM5-2B model writes a reply
The reply appears on the page
Good to know: The Space's notes name little beyond the model and the files, so open the page to see its controls.
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.
README.md 4 KB
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