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 static web page from mozilla-ai for testing AI agents powered by WebAssembly, naming the Devstral-Small-2507 and Qwen3-8B models. It suits developers exploring agents that run in a browser.
Wasm Agents Blueprint 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 mozilla-ai/wasm-agents-blueprint --repo-type space --local-dir wasm-agents-blueprint cd wasm-agents-blueprint
Wasm Agents Blueprint is a static web page from mozilla-ai for testing AI agents powered by WebAssembly. The Space names two models, Devstral-Small-2507 and Qwen3-8B. Its repository is small, with a README, index.html and style.css.
Developers who are curious how AI agents can be built on WebAssembly and want a small page to open and read.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | Web developers | Read a small blueprint for a WebAssembly agent page | Opening index.html in an editor |
| AI engineering | Agent builders | See which two models the blueprint names | Comparing Devstral-Small-2507 and Qwen3-8B |
| Education | Instructors | Use it as a starting point for a class on browser agents | A short workshop demo |
If you want a finished agent product with documented features, you can skip it, since the page gives little text.
| Use case | Who | What they get back |
|---|---|---|
| Agent testing | Developers | A page for trying a WebAssembly-powered agent |
| Code reading | Learners | Three small files that are quick to read |
pip install -U huggingface_hub hf download mozilla-ai/wasm-agents-blueprint --repo-type space --local-dir wasm-agents-blueprint cd wasm-agents-blueprint
Open the Space page, or index.html from your copy, and try what the page offers. The source lists no commands or controls, so what you see on screen is the guide.
| Tool | What it does |
|---|---|
| index.html | The page you open in a browser |
| style.css | The styling for that page |
You open the page in a browser and look at how it sets up a test of a WebAssembly agent. The source does not say what appears on screen, so expect to explore it yourself.
Open the Space page and click around. Nothing needs installing, and the three files are short enough to read in an editor.
The Space is static HTML, so it has no backend of its own. It names mistralai/Devstral-Small-2507 and Qwen/Qwen3-8B, but the source does not say whether they run in the page or elsewhere.
A static web page from mozilla-ai for testing AI agents powered by WebAssembly, naming the Devstral-Small-2507 and Qwen3-8B models. It suits developers exploring agents that run in a browser.
Made by mozilla-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: Wasm Agents Blueprint is a static web page from mozilla-ai for testing AI agents powered by WebAssembly. The Space names two models, Devstral-Small-2507 and Qwen3-8B. Its repository is small, with a README, index.html and style.css.
Who it suits: Developers who are curious how AI agents can be built on WebAssembly and want a small page to open and read.
Industry | Who uses it | How they use it | Example
Software | Web developers | Read a small blueprint for a WebAssembly agent page | Opening index.html in an editor
AI engineering | Agent builders | See which two models the blueprint names | Comparing Devstral-Small-2507 and Qwen3-8B
Education | Instructors | Use it as a starting point for a class on browser agents | A short workshop demo
If you want a finished agent product with documented features, you can skip it, since the page gives little text.
Where to use it:
Use case | Who | What they get back
Agent testing | Developers | A page for trying a WebAssembly-powered agent
Code reading | Learners | Three small files that are quick to read
How to set it up:
pip install -U huggingface_hub
hf download mozilla-ai/wasm-agents-blueprint --repo-type space --local-dir wasm-agents-blueprint
cd wasm-agents-blueprint
How to use it: Open the Space page, or index.html from your copy, and try what the page offers. The source lists no commands or controls, so what you see on screen is the guide.
Tool | What it does
index.html | The page you open in a browser
style.css | The styling for that page
Example: You open the page in a browser and look at how it sets up a test of a WebAssembly agent. The source does not say what appears on screen, so expect to explore it yourself.
For newcomers and experts: Open the Space page and click around. Nothing needs installing, and the three files are short enough to read in an editor.
The Space is static HTML, so it has no backend of its own. It names mistralai/Devstral-Small-2507 and Qwen/Qwen3-8B, but the source does not say whether they run in the page or elsewhere.
Browser opens the static page
Page sets up a WebAssembly agent test
A named model answers
Results appear on the 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
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Wasm Agents Blueprint This page | 4 | static | apache-2.0 | |
| InferenceSupportShares static | 764 | static | afl-3.0 | |
| HuggyShares static | 463 | static | cc-by-nc-sa-4.0 | |
| Z-Image Lookalike LoRA IndexShares static | 189 | static | apache-2.0 | |
| Granite Docling 258M WebGPUShares static | 163 | static | apache-2.0 | |
| DINOv3 WebShares static | 162 | static | apache-2.0 |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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