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fix: Pass model param as configuration name to NeMo Customizer

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This commit is contained in:
Jash Gulabrai 2025-05-20 09:43:51 -04:00
parent ed7b4731aa
commit 1d94f3617a
2 changed files with 5 additions and 8 deletions
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7
llama_stack/providers/remote/post_training/nvidia/post_training.py
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@ -224,7 +224,7 @@ class NvidiaPostTrainingAdapter(ModelRegistryHelper):
Parameters:
training_config: TrainingConfig - Configuration for training
model: str - Model identifier
model: str - NeMo Customizer configuration name
algorithm_config: Optional[AlgorithmConfig] - Algorithm-specific configuration
checkpoint_dir: Optional[str] - Directory containing model checkpoints, ignored atm
job_uuid: str - Unique identifier for the job, ignored atm
@ -299,9 +299,6 @@ class NvidiaPostTrainingAdapter(ModelRegistryHelper):
User is informed about unsupported parameters via warnings.
"""
# Map model to nvidia model name
# See `_MODEL_ENTRIES` for supported models
nvidia_model = self.get_provider_model_id(model)
# Check for unsupported method parameters
unsupported_method_params = []
@ -347,7 +344,7 @@ class NvidiaPostTrainingAdapter(ModelRegistryHelper):
# Prepare base job configuration
job_config = {
"config": nvidia_model,
"config": model,
"dataset": {
"name": training_config["data_config"]["dataset_id"],
"namespace": self.config.dataset_namespace,