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Upload folder using huggingface_hub

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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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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+
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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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+
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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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+ "registered_name": "keras_nlp>GemmaBackbone"
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+ }
metadata.json ADDED
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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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+ "module": "keras_nlp.src.models.gemma.gemma_causal_lm_preprocessor",
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+ "class_name": "GemmaCausalLMPreprocessor",
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+ "name": "gemma_causal_lm_preprocessor",
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+ "registered_name": "keras_nlp>GemmaCausalLM"
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tokenizer.json ADDED
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