ShebMichel
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Commit
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Parent(s):
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Upload 7 files
Browse files- .gitattributes +1 -0
- assets/tokenizer/vocabulary.spm +3 -0
- config.json +25 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
- preprocessor.json +27 -0
- task.json +60 -0
- tokenizer.json +14 -0
.gitattributes
CHANGED
@@ -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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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": "3.3.3",
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"keras_nlp_version": "0.15.1",
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"parameter_count": 2507536384,
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"date_saved": "2024-11-12@01:36:19"
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}
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model.weights.h5
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e4352d07658e7305cd02f563357148d8dbe62afcd46b2b93900d2f40f51cb2c
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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": "float32",
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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": "int32",
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"proto": null,
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"sequence_length": null,
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"add_bos": false,
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"add_eos": false
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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": "float32",
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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": "int32",
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"proto": null,
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"sequence_length": null,
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"add_bos": false,
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"add_eos": false
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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": "int32",
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"proto": null,
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"sequence_length": null,
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"add_bos": false,
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"add_eos": false
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},
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"registered_name": "keras_nlp>GemmaTokenizer"
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}
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