diciz — private AI in your browserJust a tab.That's the whole install.

Real AI, right in your browser.Nothing to install. Nothing leaves the tab.

Free during the beta — no account, no sign-up.

0-install · WebGPU 0 bytes leave the tab Cross-platform · any browser + desktop
1 TAB
Any model, any GPU — chat, video, memory. One tab.
In plain words

AI where you already are.

Open, don't install.

Click a link — it runs in the tab, on your GPU.

Nothing leaves.

Fully local. Your words stay in the browser.

It remembers.

Your chat saves — and follows you to memown.

Greener.

Runs on your own GPU, offline — no cloud servers spun up to answer you.

Proof

Not claims. Measurements.

31.2 tok/s

Qwen2.5-7B (Q4_K_M GGUF) generating in a Chrome tab. First token in 0.95 s.

measured · 2026-06-10
94.2 tok/s

Qwen2.5-0.5B (Q4_K_M GGUF), same laptop, same browser.

measured · 2026-06-10
0 requests

While you chat, nothing goes out.

by design
offline

Works after the first load, no connection.

measured

Measured on 2026-06-10 on Windows 11 with an NVIDIA RTX 4070 Laptop GPU (8 GB), in Chrome (WebGPU): greedy decoding, 128 tokens, 18-token prompt, int8-activation decode path (the same trade-off as llama.cpp's default GPU kernels). Speed depends on your GPU. Method and raw results →

Want more proof?

Every number is measured and public. Read the raw runs and reproduce them yourself.

See the benchmarks on GitHub →
FAQ

Questions, answered.

What is diciz?

A private AI chat that runs in a browser tab. The model runs on your own GPU through WebGPU: nothing to install, no account, and your conversations stay on your device. diciz is made by ZMLabs, in Sète, France.

How fast is it?

It depends on your GPU. Measured on 2026-06-10 on a laptop with an NVIDIA RTX 4070 (8 GB), in Chrome: Qwen2.5-7B (Q4_K_M) generates 31.2 tokens per second, with the first token after 0.95 s on an 18-token prompt; Qwen2.5-0.5B generates 94.2 tokens per second. Integrated GPUs are slower. The raw results are public on GitHub.

Does anything leave my device?

Your prompts, chats and memory stay in the browser. The network is used to download the model weights once, from the URL you choose (for example Hugging Face), and a few libraries from jsDelivr: those hosts see a file download, never your conversations.

Does it work offline?

Yes, once the model has been downloaded: the weights are cached in your browser (OPFS), and diciz keeps working without a connection.

Which models can I run?

You paste the URL of a GGUF model. The public benchmark ran Qwen2.5 (0.5B, 1.5B, 7B), Llama-3.2-1B, Gemma-2-2B and Phi-3.5-mini; the model has to fit in your GPU's memory.

Is it free? Do I need an account?

It is free during the beta, with no account, in the browser and for the desktop app download.

The studio

Engineering what comes next.

diciz is built by ZMLabs — a deep-engineering studio in Sète, South of France, making powerful software accessible.

Sète · Occitanie · Francecontact.zmlabs@proton.me
Nothing to install

Your browser is enough.

Open a tab. It runs — and it remembers.

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