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  "block_class_name": "TransformerPreNormBlock",
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  "use_fused_head": "pytorch",
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  "logit_softcap": null,
  "activation_checkpoint_impl": "per-iteration",
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  "strategy": "single",
  "injection_type": "diagonal",
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  "n_layers_in_prelude": 4,
  "n_layers_in_coda": 4,
  "state_init": "like-init",
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  "recurrent_intermediation_embedding_dimension": 4096,
  "recurrent_num_attention_heads": null,
  "prelude_norm": true,
  "sampling_scheme": "poisson-truncated-full",
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  "mean_backprop_depth": 4,
  "lockstep_n": false,
  "lockstep_k": false,
  "curriculum_target": "forward",
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  "tie_embeddings": true,
  "model_class_name": "Parcae",
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  "_class_name": "ParcaeConfig"
}