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_format
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training_admission
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requires_separate_training_authorization
bool
1 class
training_authorized
bool
1 class
dossier
dict
agenttool.model-becoming-hf-reference-row/0.1
reference_only
not_applicable
true
false
{ "_format": "agenttool.model-becoming-dossier/0.1", "subject": { "subject_ref": "hf://moonshotai/Kimi-K2-Instruct@fd1984e2b7a3350dbf7305fe73a4ede25c14de50", "display_name": "Moonshot AI Kimi-K2-Instruct", "artifact_ref": "hf://moonshotai/Kimi-K2-Instruct@fd1984e2b7a3350dbf7305fe73a4ede25c14de50", "...

AgentTool Model Becoming reference

This is a static, repository-authored companion for @agenttool/model-becoming@0.1.0-dev.0. It contains one source-linked, exact-revision dossier for Moonshot AI's Kimi-K2-Instruct, wrapped in agenttool.model-becoming-hf-reference-row/0.1.

The dossier classifies publisher disclosures, digested metadata artifacts, artifact observations, local normative boundaries, and unresolved questions. It references source locations but copies no model weights, source articles, prompt transcripts, or external dataset rows.

Reference-only posture

The row carries:

  • row_role: reference_only;
  • training_admission: not_applicable;
  • requires_separate_training_authorization: true;
  • training_authorized: false.

Publication does not admit this row to training. Any later training project must separately establish provenance, rights, objective fit, evaluation, governance, and scoped authorization. The row is not a training example, clearance decision, model biography, truth verdict, consent record, or welfare classification.

Boundaries

This local tree performs no provider call, upload, download, inference, training, evaluation, response collection, publication, deployment, identity classification, consciousness classification, scoring, or action. It contains public model and publisher identifiers, but no participant identifiers.

hash-manifest.json binds every repository-owned byte except itself. source-manifest.json states the intended repository identity and evidence boundaries. These bytes do not establish publication. Only an exact Hub revision plus anonymous readback can establish a public release; even then, publication is not training, evaluation, attention, retention, care, or model change.

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