| --- |
| 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. |
|
|
