Class SourceModel (1.121.0)
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SourceModel(base_model: str, custom_base_model: str = "")
A model that is used in managed OSS supervised tuning.
Usage:
model = SourceModel(
base_model="meta/llama3.1-8b", # OSS model name <publisher>/<model_name>
custom_base_model="gs://user-bucket/custom-weights",
)
sft_tuning_job = sft.train(
source_model=model,
train_dataset="gs://my-bucket/train.jsonl",
validation_dataset="gs://my-bucket/validation.jsonl",
epochs=4,
tuned_model_display_name="my-tuned-model",
output_uri="gs://user-bucket/tuned-model"
)
while not sft_tuning_job.has_ended:
time.sleep(60)
sft_tuning_job.refresh()
tuned_model = aiplatform.Model(sft_tuning_job.tuned_model_name)
```
Methods
SourceModel
SourceModel(base_model: str, custom_base_model: str = "")
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Last updated 2025-10-15 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-10-15 UTC."],[],[]]
