Retrain FinetuneJob

The organization ID for request, it override the x-org-id header if set.

The id of the finetune job.

The name of the finetune job.

LLM model id which is supported by tune.Studio or any huggingface model.

tracker id of the for finetune analytics.

dataset for the finetune job.

Used to specify the resource requirement for a (job, model).

feature gates for the finetune job (internal use).

training config for the finetune job.

status of the finetune job.

The time the finetune job was created.

The time the finetune job was last updated.

The time the finetune job was started.

The time the finetune job was finished.

CPU in milli-core.

Memory in MiB.

GPU Type.

Number of GPUs.

in seconds. Note this is inclusive of jobs and init containers, enforced by k8s, regardless of max_retries set. Not supported for models.

max number of retries for a job.

metadata for the finetune job.

• QUANTIZATION_AWQ: Aware Quantization.
• QUANTIZATION_GPTQ: GPT Quantization.
• QUANTIZATION_SQUEEZELLM: SqueezeLLM Quantization.
• QUANTIZATION_FP16: FP16 Quantization.

flag to check if the job is model merge job.

config for the model merge job only if IsModelMergeJob is true.