aws / aws/amazon-sagemaker-feedback
The Sagemaker LLAMa 3.2 1B is unable to deploy for the DIY.
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- No language data
- Stars
- 10
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
### Product Version
- [ ] Amazon SageMaker Studio Classic
- [x] Amazon SageMaker Studio
- [ ] Issue is not related to SageMaker Studio
### Issue Description
When I try to deploy the Meta LLAM 3.2 1B on SageMaker AI, it keeps on failing. It's unfortunate that I cannot complete the course because of this Model for it is the only one I am required to use for this practice.
### Expected Behavior
It is supposed to deploy.
### Observed Behavior
_No response_
### Product Category
JumpStart
### Feedback Category
Configuration and Setup
### Other Details
_No response_
Contributor guide
Research direction
The report names Amazon SageMaker Studio, SageMaker AI, and JumpStart but provides no repository files, tests, or observed error details. Start by reproducing the Meta Llama 3.2 1B deployment in SageMaker Studio and capture the failure output; done means identifying a reproducible cause and documenting or fixing the deployment failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100