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Typed decisions (jev-style) in Flutter: choice, noul and score answered by on-device or in-browser models of any family, or by any Decision API provider.

1.0.0 #

  • Typed decisions (choice, noul, score) with one DecisionEngine interface for on-device models, the browser and Decision API providers (api, openRouter).
  • Pluggable on-device engine: Runtime (ONNX Runtime; ONNX Runtime Web in a worker on the web), Tokenizer (byte-level BPE), Reader and Calibrator.
  • Built-in readers: option-reader (Dinah-0), laya (Laya) and label-logits (causal LMs).
  • Models bundled as assets, or downloaded from Hugging Face or any URL, SHA-256 checked, cached and usable offline.
  • Tools to port models: tool/export_causal_lm.py (Hugging Face LLMs) and tool/port_laya.py (Laya).
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Typed decisions (jev-style) in Flutter: choice, noul and score answered by on-device or in-browser models of any family, or by any Decision API provider.

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Topics

#ai #machine-learning #onnx #on-device #llm

License

MIT (license)

Dependencies

crypto, flutter, flutter_onnxruntime, http, path_provider, unorm_dart

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