Exported to ONNX from perplexity-ai/pplx-embed-v2-late-0.6b (by Perplexity, MIT license). This is an unofficial conversion; all credit for the model goes to the original authors. The model is a late-interaction (multi-vector) retriever: it outputs one L2-normalized 128-d vector per token or merged image patch, and documents are scored against queries with MaxSim. - embedtokens: inputids -> inputsembeds - visionencoder: pixelvalues, gridthw (one image per call) -> image embeddings that replace the image tokens - textmodel: inputsembeds, attentionmask, positionids [3,B,T] -> tokenembeddings [B,T,128] Browser runtime: the fp32, fp16, q4 files loaded and ran with onnxruntime-web 1.30.0 (wasm…