superPDF

Model · Image and text to text

LightOnOCR-3-4B-ONNX

superPDF

lightonai/LightOnOCR-3-4B by LightOn, converted to ONNX for superPDF, where it powers high-accuracy reading in the command-line tool and MCP server (--model 4b, model: "4b"). It runs with Transformers.js on ONNX Runtime (WebGPU), in the browser and in Node. from the unused multi-token-prediction layer). Every weight in those graphs is recomputed from LightOn's weights and written at the same place, so the graphs themselves are unchanged. asymmetric with zero points, computed with ONNX Runtime's own quantizematmul4bits); vision encoder float16. Norm weights are stored as 1 + w and the gated delta net's A as -exp(Alog), as the builder expects. - Converted by superPDF with the converter below.…

Model · Image and text to text

LightOnOCR-3-0.8B-ONNX-web

superPDF

lightonai/LightOnOCR-3-0.8B by LightOn, converted to ONNX for superPDF, where it powers high-accuracy reading in the browser (WebGPU, superpdf.ai) and the command-line tool (default model). It runs with Transformers.js on ONNX Runtime (WebGPU), in the browser and in Node. from the unused multi-token-prediction layer). Every weight in those graphs is recomputed from LightOn's weights and written at the same place, so the graphs themselves are unchanged. asymmetric with zero points, computed with ONNX Runtime's own quantizematmul4bits); vision encoder float16. Norm weights are stored as 1 + w and the gated delta net's A as -exp(Alog), as the builder expects. - These are the same bytes as…