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Customizer changes for 25.08
Signed-off-by: Shiva Krishna, Merla <smerla@nvidia.com>
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api/apps/v1alpha1/nemo_customizer_types.go

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@@ -396,6 +396,10 @@ func (n *NemoCustomizer) GetPostgresEnv() []corev1.EnvVar {
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},
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},
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},
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{
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Name: "POSTGRES_SECRET_NAME",
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Value: n.Spec.DatabaseConfig.Credentials.SecretName,
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},
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}
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return envVars

test/e2e/jupyter-notebook/config.py

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# (Optional) Configure the base model. Must be one supported by the NeMo Customizer deployment!
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BASE_MODEL = "meta/llama-3.2-1b-instruct"
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BASE_MODEL_VERSION = "v1.0.0+A100"

test/e2e/jupyter-notebook/e2e-notebook.ipynb

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"training_params = {\n",
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" \"name\": \"llama-3.2-1b-xlam-ft\",\n",
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" \"output_model\": f\"{NMS_NAMESPACE}/llama-3.2-1b-xlam-run1\",\n",
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" \"config\": BASE_MODEL,\n",
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" \"config\": f\"{BASE_MODEL}@{BASE_MODEL_VERSION}\",\n",
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" \"dataset\": {\"name\": DATASET_NAME, \"namespace\" : NMS_NAMESPACE},\n",
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" \"hyperparameters\": {\n",
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" \"training_type\": \"sft\",\n",

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