BlackRiver / Experimental systems

Intelligence,on your device.

A collection of experimental language, multimodal and image models that run locally through WebGPU. Your prompts, images and audio stay on your machine.

04Live labs
100%On-device
0Server calls

Choose a system.

Each lab is a working product surface, not a mockup. A WebGPU-capable browser and sufficient device memory are required.

Credits,
clearly.

“BlackRiver AI implementation” describes the unified product interface, BlackRiver navigation, website integration, deployment packaging and selected workflow adaptations. It does not imply that BlackRiver AI trained the underlying models or created the original WebGPU research demos.

Bonsai 27B

Prism ML · Qwen · WebML Community

Prism ML created the Bonsai 27B low-bit model, derived from Qwen3.6-27B. The original browser work is credited to WebML Community.

Gemma 4 Multimodal

Google · Hugging Face · Fable 5

Google created Gemma 4. The browser foundation comes from WebML Community and Hugging Face tooling; the original optimized WebGPU kernels are credited to Fable 5.

LFM2.5 230M

Liquid AI · WebML Community

Liquid AI created LFM2.5 230M. The original browser demo is credited to WebML Community, with kernel optimization credits retained from that project.

Private by architecture.

Inference happens on your GPU. Content does not need to leave the browser.

Real model weights.

Each experience loads and caches its own quantized model, with no simulated outputs.

Built on WebGPU.

Modern browser compute turns local AI into a directly accessible product surface.