My Gemma2 Pt

--- library_name: keras-hub pipeline_tag: text-generation --- This is a [`Gemma` model](https://keras.io/api/keras_hub/models/gemma) 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': 'float32'}, 'registered_name': None} * **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](https://huggingface.co/docs/hub/model-cards) for more information.

Source context: 2 downloads · 0 likes · Pipeline text-generation · Library keras-hub · Repo thienle1942/my_gemma2_pt

Source context: 3 downloads · 0 likes · Pipeline text-generation · Library keras-hub · Repo thienle1942/my_gemma2_pt