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gala-llama – AI Model by AIC-Hugo | AlphaNeural AI
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gala-llama
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peft
safetensors
trl
sft
unsloth
generated_from_trainer
llama3.2
us
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gala-llama
This model is a fine-tuned version of
unsloth/llama-3.2-3b-instruct-bnb-4bit
on the None 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: 4
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use 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: 5
num_epochs: 10
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
