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ratatouille-llama3-manual-pack – AI Model by nd1490 | AlphaNeural AI

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nd1490/
ratatouille-llama3-manual-pack

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text-generation

unsloth/llama-3-8b-bnb-4bit

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ratatouille-llama3-manual-pack

This model is a fine-tuned version of unsloth/llama-3-8b-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: 1
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 4
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: 10
training_steps: 400

Training results

Framework versions

PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.8.0+cu126
Datasets 4.5.0
Tokenizers 0.22.1