Add Mixtral #2196
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Output matching :
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| ) | ||
| self._query_dense.build(inputs_shape) | ||
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| self._key_dense = keras.layers.EinsumDense( |
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update the layer names to be compatible with enable_lora
| @keras_hub_export("keras_hub.models.MixtralBackbone") | ||
| class MixtralBackbone(Backbone): | ||
| """ | ||
| The Mixtral Transformer core architecture with hyperparameters. |
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docstring first line should follow """
| self.num_experts = num_experts | ||
| self.top_k = top_k | ||
| self.router_jitter_noise = router_jitter_noise | ||
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remove new line
| preprocessor("League of legends") | ||
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| # Tokenize a batch of sentences. | ||
| sentences = tf.constant(["Taco tuesday", "Fish taco please!"]) |
| target_ids = keras.ops.roll(generation_ids, shift=-1, axis=1) | ||
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| embeddings = None | ||
| with tf.GradientTape(watch_accessed_variables=True) as tape: |
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This PR adds Mixtral to Keras Hub.
Reference