Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…
Runs a Gradio app built around the Snortle-Pancake-2 model, in the browser or on your own computer. The README is a cut-off line, so what the app does with the model is not stated.
Snortle Pancake 2 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 Snortle-AI/Snortle-Pancake-2 --repo-type space --local-dir Snortle-Pancake-2 cd Snortle-Pancake-2
Snortle Pancake 2 is a Gradio app on Hugging Face Spaces, made by Snortle-AI. It names one model, Snortle-AI/Snortle-Pancake-2, and ships a tokenizer folder beside app.py. The README is a short, cut-off line, so the source does not say what the model or the app does.
Developers and AI hobbyists who want to try this model's Space or read how a small model demo is wired. The table below shows rough fits, judged from the files and the model name only.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software development | Python developers | Read app.py to see how the model is loaded and called | Running a local copy to see how it behaves |
| AI research | Model hobbyists | Try the online page to see what the model returns | Checking the output on a few inputs |
| Education | Learners | Study a small Space that pairs a model with a tokenizer | Reading the tokenizer folder next to app.py |
Anyone who needs a documented model with stated uses and limits can skip it, because the README explains neither.
| Use case | Who | What they get back |
|---|---|---|
| Try the app online | Anyone curious | A Gradio page in the browser, with nothing to install |
| Run a private copy | Developers | The same app on their own machine |
| Study the code | Learners | A short app.py, a requirements.txt and a tokenizer folder to read |
pip install -U huggingface_hub hf download Snortle-AI/Snortle-Pancake-2 --repo-type space --local-dir Snortle-Pancake-2 cd Snortle-Pancake-2 pip install gradio==6.30.0 pip install -r requirements.txt python app.py
Online, open the Space's page and work with the interface it shows. On your own computer, run this inside the Snortle-Pancake-2 folder and follow what the app presents.
python app.py
| Tool | What it does |
|---|---|
| app.py | The main file that starts the Gradio app |
| requirements.txt | Lists the Python packages the app needs |
| snortle_pancake_2_tok | A folder in the repository, likely the model's tokenizer files |
You run the six setup commands on a machine with Python 3.12. The app starts and shows a Gradio page. The source does not say what the page asks for or returns, so a first run is how you find out.
If you are new, open the Space's page in a browser first. Nothing needs installing, and you can see what the page offers before you set anything up on your computer.
If you know the field, the app uses Gradio 6.30.0 on Python 3.12, with app.py as the entry point. Hugging Face lists zero-a10g hardware for it. Packages come from requirements.txt. The model is Snortle-AI/Snortle-Pancake-2, whose card you should read for its real size and limits.
Runs a Gradio app built around the Snortle-Pancake-2 model, in the browser or on your own computer. The README is a cut-off line, so what the app does with the model is not stated.
Made by Snortle-AI 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: Snortle Pancake 2 is a Gradio app on Hugging Face Spaces, made by Snortle-AI. It names one model, Snortle-AI/Snortle-Pancake-2, and ships a tokenizer folder beside app.py. The README is a short, cut-off line, so the source does not say what the model or the app does.
Who it suits: Developers and AI hobbyists who want to try this model's Space or read how a small model demo is wired. The table below shows rough fits, judged from the files and the model name only.
Industry | Who uses it | How they use it | Example
Software development | Python developers | Read app.py to see how the model is loaded and called | Running a local copy to see how it behaves
AI research | Model hobbyists | Try the online page to see what the model returns | Checking the output on a few inputs
Education | Learners | Study a small Space that pairs a model with a tokenizer | Reading the tokenizer folder next to app.py
Anyone who needs a documented model with stated uses and limits can skip it, because the README explains neither.
Where to use it:
Use case | Who | What they get back
Try the app online | Anyone curious | A Gradio page in the browser, with nothing to install
Run a private copy | Developers | The same app on their own machine
Study the code | Learners | A short app.py, a requirements.txt and a tokenizer folder to read
How to set it up:
pip install -U huggingface_hub
hf download Snortle-AI/Snortle-Pancake-2 --repo-type space --local-dir Snortle-Pancake-2
cd Snortle-Pancake-2
pip install gradio==6.30.0
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space's page and work with the interface it shows. On your own computer, run this inside the Snortle-Pancake-2 folder and follow what the app presents.
python app.py
Tool | What it does
app.py | The main file that starts the Gradio app
requirements.txt | Lists the Python packages the app needs
snortle_pancake_2_tok | A folder in the repository, likely the model's tokenizer files
Example: You run the six setup commands on a machine with Python 3.12. The app starts and shows a Gradio page. The source does not say what the page asks for or returns, so a first run is how you find out.
For newcomers and experts: If you are new, open the Space's page in a browser first. Nothing needs installing, and you can see what the page offers before you set anything up on your computer.
If you know the field, the app uses Gradio 6.30.0 on Python 3.12, with app.py as the entry point. Hugging Face lists zero-a10g hardware for it. Packages come from requirements.txt. The model is Snortle-AI/Snortle-Pancake-2, whose card you should read for its real size and limits.
Install packages from requirements.txt
Start app.py with Python 3.12
The app loads the Snortle-Pancake-2 model
Gradio serves the app as a web page
Good to know:
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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|---|---|---|---|---|
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