{ "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": 28, "num_query_heads": 16, "num_key_value_heads": 16, "hidden_dim": 3072, "intermediate_dim": 49152, "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": "bfloat16", "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": 8192, "add_start_token": true, "add_end_token": true }, "registered_name": "keras_nlp>GemmaCausalLMPreprocessor" }, "name": "gemma_causal_lm" }, "registered_name": "keras_nlp>GemmaCausalLM" }