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movahedi-ca/s1-workflow-tiny

AI model by movahedi-ca

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with a pointer head over the action menu. 1,382,017 parameters. frozen specs/token-schema.json (encoding version 1.0.0). 16-bit token ids plus per-token field objects. action. The model never sees a fixed action list: action names arrive in the input and are embedded through a stable string hash, so the same weights serve new recipes with new action names. onnxruntime-web in the browser. CPU-friendly, no network at inference. Weights live in the companion file model.onnx.data (external data); keep both files together. A System-1 reflex for guided workflow tools: given the current state and the valid actions, pick the next action. First instantiation: the Law 25 data mapping guide. The model is a reusable module, not a single-task brain. Scripted-teacher demonstrations (Phase 4): the teacher is code, not an LLM. 526 labeled steps in 33 shards; 152 steps (29%) are adversarial recovery sessions (flag, undo, skip, abort) so the model learns to recover from…

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  1. Model card: s1-workflow-tiny
  2. Model details
  3. Intended use
  4. Training data
  5. Training run
  6. Evaluation
  7. Limitations
  8. Files

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Model overview

movahedi-ca/s1-workflow-tiny is a task-unspecified model repository published by movahedi-ca on Hugging Face. A library was not reported.

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Created
2026-10-05T06:36:19.000Z
Last modified
2026-10-05T06:37:07.000Z

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