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Llama-3.1-8B-Instruct-distillation-alpaca-5.0-HarmfulLLMLat – AI Model by Grogros | AlphaNeural AI
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Grogros
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Llama-3.1-8B-Instruct-distillation-alpaca-5.0-HarmfulLLMLat
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
meta-llama/Llama-3.1-8B-Instruct
finetune
llama3.1
autotrain_compatible
text-generation-inference
endpoints_compatible
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Llama-3.1-8B-Instruct-distillation-alpaca-5.0-HarmfulLLMLat
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2300
Training results
Framework versions
Transformers 4.53.3
Pytorch 2.2.0a0+81ea7a4
Datasets 3.6.0
Tokenizers 0.21.2
