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llama-3-70B-4bit-finetuned-NDT – AI Model by BellLabs | AlphaNeural AI | AlphaNeural AI
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llama-3-70B-4bit-finetuned-NDT
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-70B-Instruct
adapter
llama3.1
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llama-3-70B-4bit-finetuned-NDT
This model is a fine-tuned version of
meta-llama/Llama-3.1-70B-Instruct
on an unknown 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 200
Training results
Framework versions
PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.0.0+cu117
Datasets 2.21.0
Tokenizers 0.20.0
