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Fine Tuning

Fine TuningAlpha

Fine TuningAlphaGraders

Manage fine-tuning jobs to tailor a model to your specific training data.

Run grader
GraderRunResponse fineTuning().alpha().graders().run(params, requestOptions = RequestOptions.none())
POST
/fine_tuning/alpha/graders/run
Validate grader
GraderValidateResponse fineTuning().alpha().graders().validate(params, requestOptions = RequestOptions.none())
POST
/fine_tuning/alpha/graders/validate

Fine TuningCheckpoints

Fine TuningCheckpointsPermissions

Manage fine-tuning jobs to tailor a model to your specific training data.

Create checkpoint permissions
PermissionCreatePage fineTuning().checkpoints().permissions().create(params, requestOptions = RequestOptions.none())
POST
/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions
Delete checkpoint permission
PermissionDeleteResponse fineTuning().checkpoints().permissions().delete(params, requestOptions = RequestOptions.none())
DELETE
/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}
List checkpoint permissions
PermissionListPage fineTuning().checkpoints().permissions().list(params = PermissionListParams.none(), requestOptions = RequestOptions.none())
GET
/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions
List checkpoint permissions
Deprecated
PermissionRetrieveResponse fineTuning().checkpoints().permissions().retrieve(params = PermissionRetrieveParams.none(), requestOptions = RequestOptions.none())
GET
/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions

Fine TuningJobs

Manage fine-tuning jobs to tailor a model to your specific training data.

Cancel fine-tuning
FineTuningJob fineTuning().jobs().cancel(params = JobCancelParams.none(), requestOptions = RequestOptions.none())
POST
/fine_tuning/jobs/{fine_tuning_job_id}/cancel
Create fine-tuning job
FineTuningJob fineTuning().jobs().create(params, requestOptions = RequestOptions.none())
POST
/fine_tuning/jobs
List fine-tuning jobs
JobListPage fineTuning().jobs().list(params = JobListParams.none(), requestOptions = RequestOptions.none())
GET
/fine_tuning/jobs
List fine-tuning events
JobListEventsPage fineTuning().jobs().listEvents(params = JobListEventsParams.none(), requestOptions = RequestOptions.none())
GET
/fine_tuning/jobs/{fine_tuning_job_id}/events
Pause fine-tuning
FineTuningJob fineTuning().jobs().pause(params = JobPauseParams.none(), requestOptions = RequestOptions.none())
POST
/fine_tuning/jobs/{fine_tuning_job_id}/pause
Resume fine-tuning
FineTuningJob fineTuning().jobs().resume(params = JobResumeParams.none(), requestOptions = RequestOptions.none())
POST
/fine_tuning/jobs/{fine_tuning_job_id}/resume
Retrieve fine-tuning job
FineTuningJob fineTuning().jobs().retrieve(params = JobRetrieveParams.none(), requestOptions = RequestOptions.none())
GET
/fine_tuning/jobs/{fine_tuning_job_id}
Models
class FineTuningJob:

The fine_tuning.job object represents a fine-tuning job that has been created through the API.

class FineTuningJobEvent:

Fine-tuning job event object

class FineTuningJobWandbIntegration:

The settings for your integration with Weights and Biases. This payload specifies the project that metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags to your run, and set a default entity (team, username, etc) to be associated with your run.

class FineTuningJobWandbIntegrationObject:

Fine TuningJobsCheckpoints

Manage fine-tuning jobs to tailor a model to your specific training data.

List fine-tuning checkpoints
CheckpointListPage fineTuning().jobs().checkpoints().list(params = CheckpointListParams.none(), requestOptions = RequestOptions.none())
GET
/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints
Models
class FineTuningJobCheckpoint:

The fine_tuning.job.checkpoint object represents a model checkpoint for a fine-tuning job that is ready to use.

Fine TuningMethods

Models
class DpoHyperparameters:

The hyperparameters used for the DPO fine-tuning job.

class DpoMethod:

Configuration for the DPO fine-tuning method.

class ReinforcementHyperparameters:

The hyperparameters used for the reinforcement fine-tuning job.

class ReinforcementMethod:

Configuration for the reinforcement fine-tuning method.

class SupervisedHyperparameters:

The hyperparameters used for the fine-tuning job.

class SupervisedMethod:

Configuration for the supervised fine-tuning method.