gemma-2b-finetune

This is a Gemma model uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends. This model is related to a CausalLM task.

Model config:

• name: gemma_backbone
• trainable: True
• dtype: {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'bfloat16'}, 'registered_name': None}
• vocabulary_size: 256000
• num_layers: 18
• num_query_heads: 8
• num_key_value_heads: 1
• hidden_dim: 2048
• intermediate_dim: 32768
• head_dim: 256
• layer_norm_epsilon: 1e-06
• dropout: 0
• query_head_dim_normalize: True
• use_post_ffw_norm: False
• use_post_attention_norm: False
• final_logit_soft_cap: None
• attention_logit_soft_cap: None
• sliding_window_size: 4096
• use_sliding_window_attention: False

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