mistral-ai
#14510000
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 error you are encountering with the Mistral-AI API, specifically the "Prompt contains 66385 tokens, too large for model with 32768 maximum context length" message, is due to the following reason:
The input prompt you are sending exceeds the maximum context length that the Mistral-AI model can handle. In this case, the model has a maximum context length of 32,768 tokens, but your prompt contains 66,385 tokens, which is beyond this limit. This results in a "Bad Request" error with a status code of 400, indicating that the server cannot process the request due to the excessive length of the input.
Solution
To resolve the error caused by the prompt exceeding the maximum context length of the Mistral-AI model, you need to reduce the length of your input prompt. Here are some concise steps to achieve this:
Shorten the Prompt
Ensure that your prompt does not exceed the 32,768 token limit.
Break Down the Prompt
If necessary, break down complex queries into multiple, shorter prompts to stay within the token limit.
Optimize Context
Remove any unnecessary context or information that is not crucial for the query.
Use Chunking
If you need to process large amounts of data, consider chunking the data into smaller segments that fit within the token limit.
By implementing these measures, you can ensure your prompts comply with the model's maximum context length and avoid the "Bad Request" error.
Suggested Links
https://www.restack.io/p/mistral-prompt-limit https://community.openai.com/t/error-code-400-max-token-length/716391 https://docs.mistral.ai/api/ https://github.com/run-llama/llama_index/discussions/11889 https://forums.developer.nvidia.com/t/assistance-required-for-api-call-error-prompt-length-exceeds-maximum-input-length-in-trtgptmodel/317618
