Divyasreepat commited on
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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-hub
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+ ---
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+ This is a [`Mistral` model](https://keras.io/api/keras_hub/models/mistral) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
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+ Model config:
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+ * **name:** mistral_backbone_1
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+ * **trainable:** True
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+ * **vocabulary_size:** 32000
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+ * **num_layers:** 32
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+ * **num_query_heads:** 32
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+ * **hidden_dim:** 4096
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+ * **intermediate_dim:** 14336
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+ * **rope_max_wavelength:** 10000.0
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+ * **rope_scaling_factor:** 1.0
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+ * **num_key_value_heads:** 8
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+ * **sliding_window:** 4096
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+ * **layer_norm_epsilon:** 1e-05
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+ * **dropout:** 0
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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 (493 kB). View file
 
config.json ADDED
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+ {
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+ "module": "keras_nlp.models.mistral.mistral_backbone",
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+ "class_name": "MistralBackbone",
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+ "config": {
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+ "name": "mistral_backbone_1",
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+ "trainable": true,
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+ "vocabulary_size": 32000,
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+ "num_layers": 32,
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+ "num_query_heads": 32,
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+ "hidden_dim": 4096,
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+ "intermediate_dim": 14336,
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+ "rope_max_wavelength": 10000.0,
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+ "rope_scaling_factor": 1.0,
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+ "num_key_value_heads": 8,
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+ "sliding_window": 4096,
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+ "layer_norm_epsilon": 1e-05,
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+ "dropout": 0
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+ },
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+ "registered_name": "keras_nlp>MistralBackbone",
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+ "assets": [],
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+ "weights": "model.weights.h5"
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+ }
metadata.json ADDED
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+ {
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+ "keras_version": "3.0.5",
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+ "keras_nlp_version": "0.8.0",
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+ "parameter_count": 7241732096,
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+ "date_saved": "2024-02-23@01:22:25"
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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 sha256:91483f6833da39601c13bcdbc65439b385117959f32a24bda15774670dcff768
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+ size 14484497176
tokenizer.json ADDED
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+ {
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+ "module": "keras_nlp.models.mistral.mistral_tokenizer",
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+ "class_name": "MistralTokenizer",
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+ "config": {
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+ "name": "mistral_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>MistralTokenizer",
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+ "assets": [
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+ "assets/tokenizer/vocabulary.spm"
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+ ],
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+ "weights": null
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+ }