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Mistral AI Runs on your GPU

Run Ministral 3 3B in your browser

Mistral’s compact instruct model, new to this catalog.

modelMinistral-3-3B-Instruct-2512-BF16-q4f16_1-MLC engineWebLLM 0.2.84 networkthe model downloads once
Download1.8 GB
GPU memory2.8 GB
Context4k tokens
Parameters3B
Builds2

Use Ministral 3 3B in the browser All models Downloads once · then works offline

Open this page in a browser with JavaScript to check whether Ministral 3 3B fits this device. It needs about 2.8 GB of GPU memory and a 1.8 GB download.
Specifications Sourced from the model card
Family
Mistral
Published by
Mistral AI
Parameters
3B
Quantisation
q4f16_1 · 4-bit
Download
1.8 GB · 63 files
GPU memory
2.8 GB
Context window
4k tokens
Reasoning
Licence
Apache 2.0
Good at
Chat · Multilingual
Builds Same weights, different precision
# Build Download GPU memory Context Note
01 q4f16_1 1.8 GB 2.8 GB 4k tokens 4-bit weights, f16 Recommended
02 q4f32_1 2.0 GB 3.4 GB 4k tokens 4-bit weights, f32
How to run it
01 Open the chat The button above opens Ministral 3 3B in the browser AI chat, with the model already selected.
02 Download once 1.8 GB arrives from Hugging Face and stays in your browser cache. You can start typing while it downloads.
03 Chat privately The model runs on your GPU. Nothing you type is uploaded, and it keeps working offline.
Questions
How big is the Ministral 3 3B download?

1.8 GB for the q4f16_1 build, in 63 files. It downloads once and stays in your browser cache, so every later visit starts straight away and works offline.

What does my device need to run Ministral 3 3B?

A browser with WebGPU — recent Chrome, Edge, Firefox or Safari — and about 2.8 GB of GPU memory. The tool checks your GPU, memory and free space and tells you whether Ministral 3 3B fits before anything downloads.

Is anything I type sent to a server?

No. Ministral 3 3B runs on your own GPU inside the browser tab. The only network traffic is the one-time download of the model files from Hugging Face; your prompts and the answers never leave the device, and the chats are stored in this browser.

Which build of Ministral 3 3B should I choose?

Start with q4f16_1 — it is the smallest download and the fastest to run. The f32 builds are larger and use more memory, but they run on GPUs without 16-bit shader support. Builds marked 1k hold a shorter conversation in exchange for less memory.

How long a conversation can Ministral 3 3B hold?

Its context window is 4k tokens. Longer conversations keep working — the oldest turns are dropped with a notice when the conversation no longer fits.

What licence is Ministral 3 3B released under?

The weights are Apache 2.0, taken from the model card of mistralai/Ministral-3-3B-Instruct-2512. Check the licence yourself before using it commercially.

Other models Same family, then same size

All 65 models Open the chat

Figures read from the WebLLM 0.2.84 catalog and the model card on 2026-09-03.

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