Maple Preview 4-bit ONNX for Android
Private OpenMed development export of
deepgrove/maple-preview
revision ac1ddd79d2b5cb4406f5d2bebdf95406ce505a07 for ONNX Runtime Mobile.
The expert matrices use symmetric 4-bit, 128-value blocks through the fused
com.microsoft.QMoE operator. Router computation and the public graph I/O use
FP32. The included openmed-maple-onnx-export.json is the integrity receipt
for every file, source revision, conversion dependency, and validation gate.
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 KV growth from one to two tokens. The exact fused QMoE form also passes the standalone operator smoke test.
Source-logit parity, useful generation, direct-identifier recall, critical-leakage, peak memory, latency, and physical Android execution remain release gates. This is conversion and CPU-runtime evidence only.
Integration
The cache contract, bundle validator, and Compose demo are documented in
docs/maple-on-device.md.
Applications must verify the receipt's sizes and SHA-256 digests before moving
the selected model into protected app storage. Do not add cloud fallback for
PHI workflows.
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.
Model tree for OpenMed/maple-preview-4bit-onnx-android
Base model
deepgrove/maple-preview