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OpenMed/maple-preview-4bit-onnx-android
maple-preview-4bit-onnx-android is a text generation model from OpenMed. Use it when you need the model to write or continue text. It is set up for onnxruntime. The card lists the license as mit.
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.…
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Updated Aug 6, 2026
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From the Hugging Face model README
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.
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.
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.