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
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
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.