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--- |
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library_name: keras-hub |
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pipeline_tag: text-generation |
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license: apache-2.0 |
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datasets: |
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- harishnair04/mtsamples |
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language: |
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- en |
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base_model: |
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- google/gemma-2-2b |
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tags: |
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- LoRA |
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--- |
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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. |
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This model is related to a `CausalLM` task. |
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Model config: |
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* **name:** gemma_backbone |
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* **trainable:** True |
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* **vocabulary_size:** 256000 |
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* **num_layers:** 18 |
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* **num_query_heads:** 8 |
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* **num_key_value_heads:** 1 |
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* **hidden_dim:** 2048 |
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* **intermediate_dim:** 32768 |
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* **head_dim:** 256 |
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* **layer_norm_epsilon:** 1e-06 |
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* **dropout:** 0 |
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* **query_head_dim_normalize:** True |
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* **use_post_ffw_norm:** False |
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* **use_post_attention_norm:** False |
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* **final_logit_soft_cap:** None |
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* **attention_logit_soft_cap:** None |
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* **sliding_window_size:** 4096 |
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* **use_sliding_window_attention:** False |
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