The maximum number of tokens to generate in the completion.The token count of your prompt plus max_tokens cannot exceed the model's context length

The minimum number of tokens to generate in the completion.

The seed to use for random sampling. If set, different calls will generate deterministic results

Stop generation if this token is detected

Whether to stream back partial progress. If set, tokens will be sent as data-only server-side events as they become available, with the stream terminated by a data: [DONE] message..

Optional text/code that adds more context for the model

Default: 0.7 What sampling temperature to use, between 0.0 and 1.0. Higher values like 0.8 will make the outptu more random, while lower values like 0.2 will make it more focused and deterministic.

Nucleus sampling, where the model considers the results of the tokens with with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

Default: null. The maximum number of tokens to generate in the completion.

The ID of the voice to be used for synthesis

ID of the model to use. You can use the List Available Models API to see all of your available models, or see our Model overview for model descriptions.

The seed to use for random sampling. If set, different calls will generate deterministic results.

The ID of the model to use for this request

Upload a file that can be used across various endpoints
The size of individual files can be a maximum of 512 MB The Fine-tuning API only supports .jsonl files

The intended purpose of the uploaded file

purpose

The File object (not file name) to be uploaded

file

Returns a list of files that belong to the user's organization

Returns information about a specific file

The ID of the file to use for this request

file_id

Get a list of fine tuning jobs for your organization and user

Default: 0. The page number of the results to be returned

page

 Default: 100. The number of items to return per page

page_size

The model name used for fine-tuning to filter on. When set, the other results are not displayed

model

The current job state to filter on. When set, the other results are not displayed

status

The date/time to filter on. When set, the results for previous creation times are not displayed.

created_after

Default: false When set, only return results for jobs created by the API caller. Other results are not displayed.

created_by_me

The Weights and Biases project to filter on. When set, the other results are not displayed.

wandb_project

The Weight and Biases run name to filter on. When set, the other results are not displayed.

wandb_name

The model suffix to filter on. When set, the other results are not displayed.

suffix

Create a new fine tuning job, it will be queued for processing

dry_run

The fine-tuning hyperparameter settings used in a fine-tune job.

A string that will be added to your fine-tuning model name.

A list containing the IDs of uploaded files that contain training data

A list containing the IDs of uploaded files that contain validation data.

job_id

Request the cancellation of a fine tuning job

model_id

Mistral AI

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