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AWS Bedrock Model Not Found

Specified model ID does not exist or is incorrectly referenced.

Understanding AWS Bedrock

AWS Bedrock is a powerful tool that provides foundational models for building and deploying machine learning applications. It allows engineers to leverage pre-trained models and integrate them into their applications seamlessly. AWS Bedrock is part of the AWS ecosystem, offering scalable and efficient solutions for machine learning tasks.

Identifying the Symptom: Model Not Found

When working with AWS Bedrock, you might encounter an error message stating 'Model Not Found'. This symptom typically occurs when attempting to access or deploy a model using the Bedrock API. The error indicates that the specified model ID cannot be located within the system.

Exploring the Issue: Why 'Model Not Found' Occurs

The 'Model Not Found' error is primarily due to an incorrect or non-existent model ID being referenced in your API calls. This can happen if the model ID is mistyped, the model has been deleted, or if there is a misunderstanding about the model's availability.

Common Causes

  • Typographical errors in the model ID.
  • Attempting to access a model that has been removed or is not yet deployed.
  • Using an incorrect API endpoint or region.

Steps to Resolve 'Model Not Found'

To resolve this issue, follow these actionable steps:

Step 1: Verify the Model ID

Ensure that the model ID you are using is correct. Double-check for any typographical errors. You can list available models using the AWS CLI:

aws bedrock list-models --region your-region

This command will provide a list of models available in your specified region.

Step 2: Confirm Model Deployment

Make sure that the model you are trying to access is deployed and active. You can check the status of your models in the AWS Management Console or by using the AWS CLI:

aws bedrock describe-model --model-id your-model-id --region your-region

This command will give you details about the model's status and availability.

Step 3: Check API Endpoint and Region

Ensure that you are using the correct API endpoint and region for your requests. The endpoint and region must match the location where your model is deployed.

Additional Resources

For more information on managing models in AWS Bedrock, visit the AWS Bedrock Documentation. If you continue to experience issues, consider reaching out to AWS Support for further assistance.

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