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llamatest – AI Model by florgster | AlphaNeural AI

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florgster/
llamatest

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

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llama3_test

This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the identity and the alpaca_en_demo datasets.

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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 6.0
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.5.1+cu118
Datasets 2.16.1
Tokenizers 0.19.1