JumpStart model file not found error tuning Meta-Llama-3.1-70B-Instruct

### Product Version

- [ ] Amazon SageMaker Studio Classic
- [X] Amazon SageMaker Studio
- [ ] Issue is not related to SageMaker Studio

### Issue Description

JumpStart throws an error when attempting to fine-tune Meta-Llama-3.1-70B-Instruct using ml.p4d.24xlarge.

No S3 objects found under S3 URL "s3://jumpstart-cache-prod-us-west-2/meta-training/train-meta-textgeneration-llama-3-1-70b-instruct.tar.gz" given in input data source. Please ensure that the bucket exists in the selected region (us-west-2), that objects exist under that S3 prefix, and that the role "arn:aws:iam::831875310015:role/service-role/AmazonSageMaker-ExecutionRole-20240812T070946" has "s3:ListBucket" permissions on bucket "jumpstart-cache-prod-us-west-2".

The only options are ml.p4d.24xlarge and ml.g5.48xlarge. The ml.g5 is too small to load the model so Meta-Llama-3.1-70B-Instruct is impossible to tune via JumpStart.


### Expected Behavior

_No response_

### Observed Behavior

No S3 objects found under S3 URL "s3://jumpstart-cache-prod-us-west-2/meta-training/train-meta-textgeneration-llama-3-1-70b-instruct.tar.gz" given in input data source. Please ensure that the bucket exists in the selected region (us-west-2), that objects exist under that S3 prefix, and that the role "arn:aws:iam::831875310015:role/service-role/AmazonSageMaker-ExecutionRole-20240812T070946" has "s3:ListBucket" permissions on bucket "jumpstart-cache-prod-us-west-2".

### Product Category

JumpStart, Models

### Feedback Category

Reliability and Stability

### Other Details

_No response_

Reproduce the JumpStart fine-tuning attempt in Amazon SageMaker Studio using Meta-Llama-3.1-70B-Instruct on ml.p4d.24xlarge. Start by checking the referenced S3 URL, selected us-west-2 region, and execution-role permissions. Done means the model artifact is available to the job and fine-tuning can start without the reported missing-object error.

Written by the indexing model from the issue text.