Link the card back to its collection and the request box

README.md

@@ -63,3 +63,13 @@ torch.export -> to_edge_transform_and_lower(partitioner) -> .pte
 This repo holds **both towers**: `clip_vit_b32_image_xnnpack_fp32.pte` (image) and
 `clip_vit_b32_text_xnnpack_fp32.pte` (text, fixed len 77 + attention mask).
 L2-normalize both embeddings, then cosine-match.
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+<!-- funnel:v1 -->
+
+---
+
+**More models in this format:** [ExecuTorch Model Zoo](https://huggingface.co/collections/mlboydaisuke/executorch-model-zoo-6a7ff328390b63075ffeae5e) — 31 models, each with the recipe that produced it.
+
+**Want a different model on-device?** [Open a request](https://github.com/john-rocky/on-device-requests) — free, open weights only; the export and its measured numbers get published publicly.
+
+<!-- /funnel:v1 -->