mgbam/finetune_gemma2_2b_en_medical_qa

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
• vocabulary_size: 256000
• num_layers: 26
• num_query_heads: 8
• num_key_value_heads: 4
• hidden_dim: 2304
• intermediate_dim: 18432
• head_dim: 256
• layer_norm_epsilon: 1e-06
• dropout: 0
• query_head_dim_normalize: True
• use_post_ffw_norm: True
• use_post_attention_norm: True
• final_logit_soft_cap: 30.0
• attention_logit_soft_cap: 50.0
• sliding_window_size: 4096
• use_sliding_window_attention: True

This model card has been generated automatically and should be completed by the model author. See Model Cards documentation for more information.