Retrain FinetuneJob

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

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

The time the finetune job was created.

dataset for the finetune job.

feature gates for the finetune job (internal use).

The time the finetune job was finished.

The id of the finetune job.

The name of the finetune job.

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

The time the finetune job was started.

status of the finetune job.

tracker id of the for finetune analytics.

training config for the finetune job.

The time the finetune job was last updated.

flag to check if the job is model merge job.

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

metadata for the finetune job.

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

CPU in milli-core.

GPU Type.

Number of GPUs.

max number of retries for a job.

Memory in MiB.

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