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{
"module": "keras_nlp.src.models.gemma.gemma_causal_lm",
"class_name": "GemmaCausalLM",
"config": {
"backbone": {
"module": "keras_nlp.src.models.gemma.gemma_backbone",
"class_name": "GemmaBackbone",
"config": {
"name": "gemma_backbone",
"trainable": true,
"vocabulary_size": 256000,
"num_layers": 18,
"num_query_heads": 8,
"num_key_value_heads": 1,
"hidden_dim": 2048,
"intermediate_dim": 32768,
"head_dim": 256,
"layer_norm_epsilon": 1e-06,
"dropout": 0
},
"registered_name": "keras_nlp>GemmaBackbone"
},
"preprocessor": {
"module": "keras_nlp.src.models.gemma.gemma_causal_lm_preprocessor",
"class_name": "GemmaCausalLMPreprocessor",
"config": {
"name": "gemma_causal_lm_preprocessor",
"trainable": true,
"dtype": "float32",
"tokenizer": {
"module": "keras_nlp.src.models.gemma.gemma_tokenizer",
"class_name": "GemmaTokenizer",
"config": {
"name": "gemma_tokenizer",
"trainable": true,
"dtype": "int32",
"proto": null,
"sequence_length": null
},
"registered_name": "keras_nlp>GemmaTokenizer"
},
"sequence_length": 512,
"add_start_token": true,
"add_end_token": true
},
"registered_name": "keras_nlp>GemmaCausalLMPreprocessor"
},
"name": "gemma_causal_lm"
},
"registered_name": "keras_nlp>GemmaCausalLM"
}