mistral-ai
#10145
sampling_parameter_error
Invalid sampling parameter: top_p must be set to 1 when using greedy sampling.
This error has been identified and solved.
Reason
The 400 status error in the Mistral AI API, particularly when you encounter the message that top_p must be 1 when using greedy sampling, can be attributed to several reasons:
Invalid Parameters
The error indicates that the top_p parameter, which is used for nucleus sampling, is not set correctly. When using greedy sampling, the API expects top_p to be 1, as greedy sampling is essentially a special case of nucleus sampling where only the top token is considered.
Incorrect Sampling Method
The API might be receiving a request with an inconsistent sampling method. Greedy sampling and nucleus sampling have different requirements, and mixing these can lead to validation errors.
Request Syntax or Configuration
The error could also be due to invalid syntax or configuration in the request. This includes any extra or unexpected parameters, or parameters that are not allowed in the context of the specific model or sampling method being used.
Model-Specific Constraints
Different models have specific constraints and requirements. The error might indicate that the request does not comply with the constraints of the particular model being invoked.
Solution
To fix the 400 status error in the Mistral AI API due to the message top_p must be set to 1 when using greedy sampling, you need to ensure the following:
Set
top_pto 1 when using greedy sampling.Ensure the sampling method is consistent and matches the expected parameters for the model.
Verify that the request syntax and configuration are correct and comply with the model's requirements.
Here are the key actions to take:
Update the
top_pparameter to 1.Check and correct the sampling method to align with the model's expectations.
Review and adjust the request parameters to ensure they are valid and compliant with the model's constraints.
