AWS Sagemaker
LiteLLM supports Llama2 on Sagemaker
API KEYS
!pip install boto3
os.environ["AWS_ACCESS_KEY_ID"] = ""
os.environ["AWS_SECRET_ACCESS_KEY"] = ""
os.environ["AWS_REGION_NAME"] = ""
AWS Sagemaker Models
Here's an example of using a sagemaker model with LiteLLM
| Model Name | Function Call | Required OS Variables |
|---|---|---|
| Llama2 7B | completion(model='sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b, messages=messages) | os.environ['AWS_ACCESS_KEY_ID'], os.environ['AWS_SECRET_ACCESS_KEY'], os.environ['AWS_REGION_NAME'] |
| Custom LLM Endpoint | completion(model='sagemaker/your-endpoint, messages=messages) | os.environ['AWS_ACCESS_KEY_ID'], os.environ['AWS_SECRET_ACCESS_KEY'], os.environ['AWS_REGION_NAME'] |