Qwen3-4B_BRIK

Qwen3-4B — BRIK (int4)

Qwen3-4B (Alibaba, Apache-2.0) converted to the BRIK format so it runs inside the browser on the visitor's GPU (WebGPU) — no inference server, no API key.

The heavy desktop option of the Brimkern catalogue: the largest model the engine streams today, for machines with the VRAM to hold it.

Try it in one click

👉 https://brimkern.com/chat?model=romainkh14/Qwen3-4B_BRIK

⚠️ 2.53 GB streamed on first use, and roughly the same again in VRAM. The page announces the cost before the download starts, the transfer resumes after a drop, and the file is reusable offline afterwards. On a laptop GPU expect a first load in minutes, not seconds.

Measured

No per-model throughput figure is published here yet: our decode benches cover the small models people load by default (see LFM2.5-230M and Qwen2.5-0.5B). What is measured on this class of model is that decoding is memory-bandwidth-bound, so throughput follows the GPU's bandwidth almost linearly — the engine sits at 79-92 % of the machine's measured ceiling.

The rule in this project is that a number gets published only if a replayable bench produced it. This one has not been run on 4B yet.

Format

A .brik is a self-describing container: architecture, tokenizer and configuration travel inside the file, weights are pre-quantized in the layout the kernels read, and every layer is one contiguous HTTP range — which is what makes a 2.53 GB model loadable in a tab at all. Specification: BRIK_FORMAT.md.

License

Weights under Apache-2.0 (Qwen3-4B, Alibaba). The Brimkern engine itself is MIT.