This is a Gemma model uploaded using the KerasNLP 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.

Downloads last month
18
Inference Examples
Inference API (serverless) does not yet support keras-hub models for this pipeline type.

Model tree for gusthema/gus_gemma2_pt

Base model

google/gemma-2-2b
Finetuned
(130)
this model