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---
library_name: keras-hub
pipeline_tag: text-generation
license: apache-2.0
datasets:
- harishnair04/mtsamples
language:
- en
base_model:
- google/gemma-2-2b
tags:
- LoRA
---
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
* **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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