BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Allsikt//Article Deadline//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:b65360fcd0343105b54b77050674ac57c3110fb6@allsikt.tech
DTSTAMP:20260716T220549Z
DTSTART;VALUE=DATE:20260716
DTEND;VALUE=DATE:20260717
SUMMARY:Bonsai 27B 1‑bit Dense LLM Runs Locally in Browser with WebGPU Kernels
DESCRIPTION:Integrate Bonsai 27B 1‑bit quantized model into your local inference pipeline using custom WebGPU kernels.\n\nSource: Reddit r/LocalLLaMA\nOpen: https://allsikt.se/article/bonsai-27b-1-bit-dense-llm-runs-locally-in-browser-with-webgpu-kernels-bc64a9e2
URL:https://allsikt.se/article/bonsai-27b-1-bit-dense-llm-runs-locally-in-browser-with-webgpu-kernels-bc64a9e2
STATUS:CONFIRMED
TRANSP:TRANSPARENT
END:VEVENT
END:VCALENDAR