Add OpenMed validation model card

README.md

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+---
+base_model: deepgrove/maple-preview
+base_model_relation: quantized
+language:
+  - en
+library_name: onnxruntime
+license: mit
+pipeline_tag: text-generation
+tags:
+  - onnx
+  - onnxruntime-web
+  - webgpu
+  - browser
+  - maple
+  - mixture-of-experts
+  - quantized
+  - openmed
+---
+
+# Maple Preview 4-bit ONNX for browser WebGPU
+
+Private OpenMed development export of
+[`deepgrove/maple-preview`](https://huggingface.co/deepgrove/maple-preview)
+revision `ac1ddd79d2b5cb4406f5d2bebdf95406ce505a07` for a compatible ONNX
+Runtime Web/WebGPU integration. The expert matrices use symmetric 4-bit,
+128-value blocks through the fused `com.microsoft.QMoE` operator; cache and
+logit I/O use FP16. The included `openmed-maple-onnx-export.json` records file
+hashes, source provenance, the exact toolchain, and validation gates.
+
+## Validation status
+
+The complete 24-layer graph passed ONNX checker and OpenMed's graph contract.
+On ONNX Runtime 1.25.1 CPU it completed a real one-token prefill and cached
+decode with finite logits and correct KV growth. Physical browser WebGPU
+execution, source-logit parity, useful generation, direct-identifier recall,
+critical-leakage, peak memory, and latency remain release gates.
+
+This custom Maple graph is not a stock Transformers.js model. The browser demo
+requires an audited, same-origin adapter with compatible QMoE support. See
+[`docs/maple-on-device.md`](https://github.com/maziyarpanahi/openmed/blob/master/docs/maple-on-device.md)
+and the standalone demo in `docs/demo/web/`. Notes and generated outputs must
+not be persisted in browser storage, and PHI workflows must not use cloud
+fallback.
+
+Maple Preview is a research model, not a medical device. It must not
+automatically trigger clinical or disclosure decisions. The upstream model is
+licensed under MIT; see its repository for the license and model card.