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Upload folder using huggingface_hub

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README.md ADDED
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+ ---
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+ library_name: keras-nlp
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+ ---
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+ This is a [`Phi3` model](https://keras.io/api/keras_nlp/models/phi3) uploaded using the KerasNLP library and can be used with JAX, TensorFlow, and PyTorch backends.
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+ Model config:
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+ * **name:** phi3_backbone_1
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+ * **trainable:** True
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+ * **vocabulary_size:** 32064
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+ * **num_layers:** 32
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+ * **num_query_heads:** 32
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+ * **hidden_dim:** 3072
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+ * **intermediate_dim:** 8192
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+ * **num_key_value_heads:** 32
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+ * **layer_norm_epsilon:** 1e-05
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+ * **dropout:** 0.0
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+ * **max_sequence_length:** 4096
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+ * **original_max_sequence_length:** 4096
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+ * **rope_max_wavelength:** 10000.0
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+ * **rope_scaling_type:** None
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+ * **rope_scaling_short_factor:** None
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+ * **rope_scaling_long_factor:** None
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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.
assets/tokenizer/vocabulary.spm ADDED
Binary file (500 kB). View file
 
config.json ADDED
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+ {
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+ "module": "keras_nlp.src.models.phi3.phi3_backbone",
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+ "class_name": "Phi3Backbone",
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+ "config": {
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+ "name": "phi3_backbone_1",
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+ "trainable": true,
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+ "vocabulary_size": 32064,
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+ "num_layers": 32,
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+ "num_query_heads": 32,
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+ "hidden_dim": 3072,
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+ "intermediate_dim": 8192,
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+ "num_key_value_heads": 32,
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+ "layer_norm_epsilon": 1e-05,
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+ "dropout": 0.0,
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+ "max_sequence_length": 4096,
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+ "original_max_sequence_length": 4096,
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+ "rope_max_wavelength": 10000.0,
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+ "rope_scaling_type": null,
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+ "rope_scaling_short_factor": null,
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+ "rope_scaling_long_factor": null
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+ },
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+ "registered_name": "keras_nlp>Phi3Backbone"
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+ }
metadata.json ADDED
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+ {
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+ "keras_version": "3.3.3",
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+ "keras_nlp_version": "0.10.0",
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+ "parameter_count": 3821079552,
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+ "date_saved": "2024-05-06@23:30:58"
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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 sha256:276f47353d6e6199cd2f5f378b38c9fb238a60d9ddf8b3d8ed995beae68e67e2
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+ size 7643265592
tokenizer.json ADDED
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+ {
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+ "module": "keras_nlp.src.models.phi3.phi3_tokenizer",
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+ "class_name": "Phi3Tokenizer",
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+ "config": {
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+ "name": "phi3_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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+ },
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+ "registered_name": "keras_nlp>Phi3Tokenizer"
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+ }