aws / aws/amazon-sagemaker-examples
[Example Request] Hosting Dolly-12b model on SageMaker
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
**Describe the use case example you want to see**
Hosting Dolly-12b model on SageMaker
**How would this example be used? Please describe.**
Hosting Dolly-12b model on SageMaker
**Describe which SageMaker services are involved**
SageMaker Inference/Hosting
**Describe what other services (other than SageMaker) are involved***
S3, ECR
**Describe which dataset could be used. Provide its location in s3://sagemaker-sample-files or another source.**
NA
Contributor guide
Research direction
Start by reviewing existing SageMaker inference and hosting examples in the repository, then compare how they use S3 and ECR for model deployment. The issue provides no target file, dataset, or acceptance test, so define a reproducible Dolly-12b hosting and inference check before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100