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Alita-V3-Ultimate-8Experts – AI Model by mwhyd2262 | AlphaNeural AI

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mwhyd2262/
Alita-V3-Ultimate-8Experts

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text-generation

google/gemma-4-26B-A4B-it

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Alita-V3-Ultimate-8Experts

This model is a fine-tuned version of google/gemma-4-26B-A4B-it 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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 40
num_epochs: 1

Training results

Framework versions

PEFT 0.19.1
Transformers 5.5.4
Pytorch 2.5.1+cu121
Datasets 4.8.4
Tokenizers 0.22.2