Bonsai is a 27-billion parameter language model with 1-bit quantized weights that runs entirely in the browser using WebGPU. Users can input text prompts and receive generated responses with all processing happening locally on their device, requiring no server connection or data upload. It is designed for developers and AI enthusiasts interested in client-side AI inference and exploring quantized large language models directly in the browser.
Bonsai 27B WebGPU Kernels is an AI & ML product. It focuses on running large language models without server infrastructure or data transmission. It is built as an open-source project for developers and AI enthusiasts. Bonsai 27B WebGPU Kernels costs nothing to use. It runs on the web.
Behind Bonsai 27B WebGPU Kernels is webml-community, and the product first shipped in 2025. Key capabilities include Local Inference, WebGPU Acceleration, and Text Generation.
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Bonsai 27B parameters. 1-bit weights. In your browser verified by the PulseGate indexer
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