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Hyperbolic is a cutting-edge tool designed for engineers and developers working with large language models (LLMs). It serves as an inference layer, enabling seamless integration and deployment of LLMs in production environments. Hyperbolic provides APIs that facilitate efficient model inference, making it an essential component for applications that rely on natural language processing.
One common issue encountered by users of Hyperbolic is the 'Model Not Found' error. This error typically manifests when attempting to access a model using a specified model ID, but the system fails to locate it. Users might see an error message indicating that the model ID does not exist or is unavailable.
The 'Model Not Found' error is often a result of an incorrect model ID being used in the API request. This could be due to a typo, an outdated model ID, or an attempt to access a model that has been removed or is temporarily unavailable. Understanding the root cause is crucial for resolving the issue effectively.
To resolve this issue, follow these actionable steps:
Ensure that the model ID used in your API request is correct. Double-check for any typographical errors. Refer to your model management dashboard or documentation to confirm the correct ID.
Verify that the model is available and has not been removed or deprecated. You can do this by accessing the Hyperbolic Model Dashboard to view the status of your models.
If the model ID has changed or the model has been updated, ensure that your API request reflects these changes. Update your code or configuration files with the new model ID.
For further assistance, consider exploring the following resources:
By following these steps, you should be able to resolve the 'Model Not Found' error and ensure smooth operation of your application using Hyperbolic's powerful inference capabilities.
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