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…
A coding quiz app from the Hugging Face agents course that serves smolagents questions from a dataset. For learners checking what they know and teachers who want a small quiz app to adapt.
Unit 2.1 smolagents Code Quiz is a kit in the Education 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 agents-course/unit2_smolagents_quiz --repo-type space --local-dir unit2_smolagents_quiz cd unit2_smolagents_quiz
Unit 2.1 smolagents Code Quiz is a coding quiz app from the Hugging Face agents course, built on the smolagents framework. It serves quiz questions that come from rows of a dataset, agents-course/smolagents-quiz-data. The record also names Qwen/Qwen2.5-Coder-32B-Instruct.
Learners working through the agents course who want to check what they know about smolagents, and teachers who want a small quiz app to adapt.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Education | Course students | Test their grasp of smolagents code | Answering a quiz question after finishing the unit |
| Teaching | Instructors | Study a quiz app that reads questions from a dataset | Reading app.py and example.json |
| Software | Developers | Adapt the app for their own quiz data | Pointing it at a different dataset |
You can skip it if you are not learning smolagents, since the questions are about that framework.
| Use case | Who | What they get back |
|---|---|---|
| Take the quiz | Learners | Coding questions to answer about smolagents |
| Reuse the app | Instructors and developers | A quiz built on dataset rows, with an example data file |
pip install -U huggingface_hub hf download agents-course/unit2_smolagents_quiz --repo-type space --local-dir unit2_smolagents_quiz cd unit2_smolagents_quiz pip install gradio==5.15.0 pip install -r requirements.txt
Open the Space's page, read each question and answer it with the controls the page shows. On your own computer, start the app first and open the page it serves.
python app.py
| Tool | What it does |
|---|---|
| python app.py | Starts the quiz on your own computer |
| push_data.ipynb | A notebook in the repository for loading quiz data |
You open the quiz and read a question about smolagents code. You answer it on the page and see whether you got it right.
If you are new to this, open the Space and answer a question or two. It is a quick way to find out what you have not yet learned.
For experts, the app reads its questions from a Hugging Face dataset, and example.json shows the row shape. The repository uses uv with a lock file and pins Gradio 5.15.0. It runs on Hugging Face's basic CPU hardware.
A coding quiz app from the Hugging Face agents course that serves smolagents questions from a dataset. For learners checking what they know and teachers who want a small quiz app to adapt.
Made by agents-course 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: Unit 2.1 smolagents Code Quiz is a coding quiz app from the Hugging Face agents course, built on the smolagents framework. It serves quiz questions that come from rows of a dataset, agents-course/smolagents-quiz-data. The record also names Qwen/Qwen2.5-Coder-32B-Instruct.
Who it suits: Learners working through the agents course who want to check what they know about smolagents, and teachers who want a small quiz app to adapt.
Industry | Who uses it | How they use it | Example
Education | Course students | Test their grasp of smolagents code | Answering a quiz question after finishing the unit
Teaching | Instructors | Study a quiz app that reads questions from a dataset | Reading app.py and example.json
Software | Developers | Adapt the app for their own quiz data | Pointing it at a different dataset
You can skip it if you are not learning smolagents, since the questions are about that framework.
Where to use it:
Use case | Who | What they get back
Take the quiz | Learners | Coding questions to answer about smolagents
Reuse the app | Instructors and developers | A quiz built on dataset rows, with an example data file
How to set it up:
pip install -U huggingface_hub
hf download agents-course/unit2_smolagents_quiz --repo-type space --local-dir unit2_smolagents_quiz
cd unit2_smolagents_quiz
pip install gradio==5.15.0
pip install -r requirements.txt
How to use it: Open the Space's page, read each question and answer it with the controls the page shows. On your own computer, start the app first and open the page it serves.
python app.py
Tool | What it does
python app.py | Starts the quiz on your own computer
push_data.ipynb | A notebook in the repository for loading quiz data
Example: You open the quiz and read a question about smolagents code. You answer it on the page and see whether you got it right.
For newcomers and experts: If you are new to this, open the Space and answer a question or two. It is a quick way to find out what you have not yet learned.
For experts, the app reads its questions from a Hugging Face dataset, and example.json shows the row shape. The repository uses uv with a lock file and pins Gradio 5.15.0. It runs on Hugging Face's basic CPU hardware.
Open the quiz
A question comes from the dataset
You answer it on the page
The app shows your result
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
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Unit 2.1 smolagents Code Quiz This page | 63 | gradio | apache-2.0 | |
| Unit 1 Quiz - AI Agent FundementalsShares gradio | 360 | gradio | apache-2.0 | |
| Unit 1 Quiz - Model Context Protocol (MCP) FundementalsShares gradio | 58 | gradio | apache-2.0 | |
| Tamazight Text-to-SpeechShares gradio | 41 | gradio | cc-by-4.0 | |
| Embedding Draw ChallengeShares gradio | 30 | gradio | apache-2.0 | |
| Arabic Auto TashkeelShares gradio | 29 | gradio | apache-2.0 |
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…
LibertAIDAI · Kit
Runs DeepSeek-V4.1-Flash-1017 as a 2.9 bits-per-weight EXL3 quantization, a 196 GiB copy for people serving large models on their own hardware. Perplexity stay…
facebook · Kit
Generates short music clips from a text description or an audio prompt, in the small checkpoint of facebook's MusicGen. It suits developers and music hobbyists…
prathoshap · Kit
Reads classical Sanskrit verses aloud in a chant style, using one trained voice and a reference clip that sets the rhythm. For people who study, recite or need…
paradigma-inc · Kit
Solves hard math problems with a 1B-parameter model trained from scratch for fast, high-volume reasoning. It suits developers who run math workloads on an NVID…
murai-labs · Kit
Chats in Tamil script, romanized Tamil and English, and translates between Tamil and English. A 2.5B model built from scratch by Murai Labs, for Tamil speakers…