List FinetuneJob
List finetune jobs.
Tune API Keys are the preferred way to authenticate with the API. You can create an API Key from your Tune Studio Profile → 'Access Keys' (in sidebar)
The organization ID for request, it override the x-org-id header if set.
Authorizations
Tune API Keys are the preferred way to authenticate with the API. You can create an API Key from your Tune Studio Profile → 'Access Keys' (in sidebar)
Body
Response
The list of finetune jobs.
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.
Used to specify the resource requirement for a (job, model).
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.
feature gates for the finetune job (internal use).
training config for the finetune job.
metadata for the finetune job.
- QUANTIZATION_AWQ: Aware Quantization.
- QUANTIZATION_GPTQ: GPT Quantization.
- QUANTIZATION_SQUEEZELLM: SqueezeLLM Quantization.
- QUANTIZATION_FP16: FP16 Quantization.
QUANTIZATION_UNSPECIFIED
, QUANTIZATION_AWQ
, QUANTIZATION_GPTQ
, QUANTIZATION_SQUEEZELLM
, QUANTIZATION_FP16
flag to check if the job is model merge job.
config for the model merge job only if IsModelMergeJob is true.
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.
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