Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +28 -0
- assets/tokenizer/vocabulary.spm +3 -0
- config.json +25 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
- preprocessor.json +39 -0
- task.json +72 -0
- tokenizer.json +19 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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assets/tokenizer/vocabulary.spm filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: keras-nlp
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pipeline_tag: text-generation
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---
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This is a [`Gemma` model](https://keras.io/api/keras_nlp/models/gemma) uploaded using the KerasNLP library and can be used with JAX, TensorFlow, and PyTorch backends.
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This model is related to a `CausalLM` task.
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Model config:
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* **name:** gemma_backbone
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* **trainable:** True
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* **vocabulary_size:** 256000
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* **num_layers:** 18
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* **num_query_heads:** 8
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* **num_key_value_heads:** 1
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* **hidden_dim:** 2048
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* **intermediate_dim:** 32768
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* **head_dim:** 256
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* **layer_norm_epsilon:** 1e-06
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* **dropout:** 0
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* **query_head_dim_normalize:** True
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* **use_post_ffw_norm:** False
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* **use_post_attention_norm:** False
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* **final_logit_soft_cap:** None
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* **attention_logit_soft_cap:** None
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* **sliding_window_size:** 4096
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* **use_sliding_window_attention:** False
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This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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assets/tokenizer/vocabulary.spm
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version https://git-lfs.github.com/spec/v1
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oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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size 4241003
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config.json
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{
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"module": "keras_nlp.src.models.gemma.gemma_backbone",
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"class_name": "GemmaBackbone",
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"config": {
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"name": "gemma_backbone",
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"trainable": true,
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"vocabulary_size": 256000,
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"num_layers": 18,
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"num_query_heads": 8,
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"num_key_value_heads": 1,
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"hidden_dim": 2048,
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"intermediate_dim": 32768,
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"head_dim": 256,
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"layer_norm_epsilon": 1e-06,
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"dropout": 0,
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"query_head_dim_normalize": true,
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"use_post_ffw_norm": false,
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"use_post_attention_norm": false,
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"final_logit_soft_cap": null,
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"attention_logit_soft_cap": null,
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"sliding_window_size": 4096,
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"use_sliding_window_attention": false
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},
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"registered_name": "keras_nlp>GemmaBackbone"
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}
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metadata.json
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{
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"keras_version": "3.4.1",
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"keras_nlp_version": "0.14.2",
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"parameter_count": 2507536384,
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"date_saved": "2024-08-01@02:41:24"
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}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:de165c369874908802b575db2a2cfa43ccff20e79acd604a64114de22dfc3f09
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size 10025240416
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preprocessor.json
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{
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"module": "keras_nlp.src.models.gemma.gemma_causal_lm_preprocessor",
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"class_name": "GemmaCausalLMPreprocessor",
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"config": {
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"name": "gemma_causal_lm_preprocessor",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "float32"
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},
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"registered_name": null
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},
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"tokenizer": {
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"module": "keras_nlp.src.models.gemma.gemma_tokenizer",
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"class_name": "GemmaTokenizer",
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"config": {
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"name": "gemma_tokenizer",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "int32"
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},
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"registered_name": null
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},
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"proto": null,
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"sequence_length": null
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},
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"registered_name": "keras_nlp>GemmaTokenizer"
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},
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"sequence_length": 512,
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"add_start_token": true,
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"add_end_token": true
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},
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"registered_name": "keras_nlp>GemmaCausalLMPreprocessor"
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}
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task.json
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{
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"module": "keras_nlp.src.models.gemma.gemma_causal_lm",
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"class_name": "GemmaCausalLM",
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"config": {
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"backbone": {
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"module": "keras_nlp.src.models.gemma.gemma_backbone",
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"class_name": "GemmaBackbone",
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"config": {
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"name": "gemma_backbone",
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"trainable": true,
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"vocabulary_size": 256000,
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"num_layers": 18,
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"num_query_heads": 8,
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"num_key_value_heads": 1,
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"hidden_dim": 2048,
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+
"intermediate_dim": 32768,
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"head_dim": 256,
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+
"layer_norm_epsilon": 1e-06,
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"dropout": 0,
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"query_head_dim_normalize": true,
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"use_post_ffw_norm": false,
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"use_post_attention_norm": false,
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"final_logit_soft_cap": null,
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"attention_logit_soft_cap": null,
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"sliding_window_size": 4096,
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"use_sliding_window_attention": false
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},
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"registered_name": "keras_nlp>GemmaBackbone"
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},
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"preprocessor": {
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"module": "keras_nlp.src.models.gemma.gemma_causal_lm_preprocessor",
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"class_name": "GemmaCausalLMPreprocessor",
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"config": {
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"name": "gemma_causal_lm_preprocessor",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "float32"
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},
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"registered_name": null
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},
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"tokenizer": {
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"module": "keras_nlp.src.models.gemma.gemma_tokenizer",
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"class_name": "GemmaTokenizer",
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"config": {
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"name": "gemma_tokenizer",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "int32"
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},
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"registered_name": null
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},
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"proto": null,
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"sequence_length": null
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},
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"registered_name": "keras_nlp>GemmaTokenizer"
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},
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"sequence_length": 512,
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"add_start_token": true,
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"add_end_token": true
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},
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"registered_name": "keras_nlp>GemmaCausalLMPreprocessor"
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},
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"name": "gemma_causal_lm"
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},
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"registered_name": "keras_nlp>GemmaCausalLM"
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}
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tokenizer.json
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{
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"module": "keras_nlp.src.models.gemma.gemma_tokenizer",
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"class_name": "GemmaTokenizer",
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"config": {
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"name": "gemma_tokenizer",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "int32"
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},
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"registered_name": null
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},
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"proto": null,
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"sequence_length": null
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},
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"registered_name": "keras_nlp>GemmaTokenizer"
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}
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