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{
"activation_dropout": 0.1,
"architectures": [
"RetNetForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_retnet.RetNetConfig",
"FlaxAutoModel": "modeling_flax_retnet.FlaxRetNetModel",
"FlaxAutoModelForCausalLM": "modeling_flax_retnet.FlaxRetNetForCausalLM"
},
"attention_type": "parallel",
"dropout": 0.1,
"hidden_act": "gelu",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 1536,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 512,
"model_type": "retnet",
"normalize_before": false,
"num_hidden_layers": 12,
"num_rettention_heads": 4,
"output_retentions": false,
"recurrent_chunk_size": 512,
"transformers_version": "4.29.2",
"vocab_size": 50432
}
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