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{
  "schema": "anycxr_hf_checkpoint_release.v1",
  "project": "AnyCXR",
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  "checkpoint_files": 8,
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    "full": "Native full checkpoints containing model, optimizer, scheduler, configuration and per-rank RNG state."
  },
  "class_reference": "class_names.json",
  "architecture": "ConvNeXt V2 Large with CAS-lite and AMFS; JTR disabled",
  "training_continuation": "Full files are selected best-epoch states, not inference-only files. They can initialize further training. Extending a completed phase requires an explicit new training budget and compatible trainer; automatic same-phase continuation is not promised."
}