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gemma3-finetuned-hf – AI Model by Samarth16k | AlphaNeural AI
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Samarth16k
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gemma3-finetuned-hf
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keras-hub
safetensors
text-generation
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This is a
Gemma3
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:
gemma3_backbone
trainable:
True
dtype:
{'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}
vocabulary_size:
262144
image_size:
896
num_layers:
34
num_query_heads:
8
num_key_value_heads:
4
hidden_dim:
2560
intermediate_dim:
10240
head_dim:
256
query_head_dim_normalize:
True
use_query_key_norm:
True
use_post_ffw_norm:
True
use_post_attention_norm:
True
attention_logit_soft_cap:
None
final_logit_soft_cap:
None
use_sliding_window_attention:
True
sliding_window_size:
1024
local_rope_scaling_factor:
1.0
global_rope_scaling_factor:
8.0
vision_encoder:
{'module': 'keras_hub.src.models.gemma3.gemma3_vision_encoder', 'class_name': 'Gemma3VisionEncoder', 'config': {'name': 'gemma3_vision_encoder', 'trainable': False, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'num_heads': 16, 'hidden_dim': 1152, 'num_layers': 27, 'intermediate_dim': 4304, 'output_dim': 2560, 'pool_size': 4, 'image_size': 896, 'patch_size': 14, 'layer_norm_epsilon': 1e-06}, 'registered_name': 'keras_hub>Gemma3VisionEncoder'}
use_bidirectional_attention:
False
layer_norm_epsilon:
1e-06
dropout:
0
is_embedding_model:
False
pooling_intermediate_dim:
None
embedding_dim:
None
This model card has been generated automatically and should be completed by the model author. See
Model Cards documentation
for more information.
