File size: 2,333 Bytes
310c559 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
{
"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": 26,
"num_query_heads": 8,
"num_key_value_heads": 4,
"hidden_dim": 2304,
"intermediate_dim": 18432,
"head_dim": 256,
"layer_norm_epsilon": 1e-06,
"dropout": 0,
"query_head_dim_normalize": true,
"use_post_ffw_norm": true,
"use_post_attention_norm": true,
"final_logit_soft_cap": 30.0,
"attention_logit_soft_cap": 50.0,
"sliding_window_size": 4096,
"use_sliding_window_attention": true
},
"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,
"add_bos": false,
"add_eos": false
},
"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"
} |