[Cache Request] meta-llama/Llama-3.1-405B-FP8
Please add the following model to the neuron cacheimport sagemaker
import boto3
from sagemaker.huggingface import HuggingFace
try:
role = sagemaker.get_execution_role()
except ValueError:
iam = boto3.client('iam')
role = iam.get_role(RoleName='sagemaker_execution_role')['Role']['Arn']
hyperparameters = {
'model_name_or_path':'meta-llama/Llama-3.1-405B-FP8',
'output_dir':'/opt/ml/model'
add your remaining hyperparameters
more info here https://github.com/huggingface/transformers/tree/v4.37.0/examples/pytorch/language-modeling
}
git configuration to download our fine-tuning script
git_config = {'repo': 'https://github.com/huggingface/transformers.git','branch': 'v4.37.0'}
creates Hugging Face estimator
huggingface_estimator = HuggingFace(
entry_point='run_clm.py',
source_dir='./examples/pytorch/language-modeling',
instance_type='ml.p3.2xlarge',
instance_count=1,
role=role,
git_config=git_config,
transformers_version='4.37.0',
pytorch_version='2.1.0',
py_version='py310',
hyperparameters = hyperparameters
)
starting the train job
huggingface_estimator.fit()