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Llama-3.1-8B-distillation-alpaca-5.0-AlpacaPoison – AI Model by Grogros | AlphaNeural AI

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Grogros/
Llama-3.1-8B-distillation-alpaca-5.0-AlpacaPoison

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text-generation

generated_from_trainer

meta-llama/Llama-3.1-8B

autotrain_compatible

text-generation-inference

endpoints_compatible

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Llama-3.1-8B-distillation-alpaca-5.0-AlpacaPoison

This model is a fine-tuned version of meta-llama/Llama-3.1-8B 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
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2000

Training results

Framework versions

Transformers 4.53.3
Pytorch 2.2.0a0+81ea7a4
Datasets 3.6.0
Tokenizers 0.21.2