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sandepaAI_gemma4_coder_12b – AI Model by sandepaAI | AlphaNeural AI
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sandepaAI
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sandepaAI_gemma4_coder_12b
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peft
safetensors
gguf
gemma4_unified
image-text-to-text
adapter
lora
transformers
text-generation
conversational
google/gemma-4-12B-it
apache-2.0
endpoints_compatible
us
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sandepaAI_gemma4_coder_12b
This model is a fine-tuned version of
google/gemma-4-12B-it
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 5200
Training results
Framework versions
PEFT 0.19.1
Transformers 5.15.0.dev0
Pytorch 2.12.1+cu130
Datasets 4.3.0
Tokenizers 0.22.2
