How to deploy a fine-tuned model with orgin model?

AI & Data Science NVIDIA NeMo
,
1 
deployment_config = nemo_client.deployment.configs.create(
    name="llama-3.2-1b-instruct-ft-config",
    namespace=NMS_NAMESPACE,
    model=CUSTOMIZED_MODEL,
    nim_deployment={
        "image_name": "nvcr.io/nim/meta/llama-3.2-1b-instruct",
        "image_tag": "latest",
        "gpu": 1,
        "disable_lora_support": True,
        "pvc_size": "25Gi",
        "additional_envs": {
            "NIM_MODEL_NAME": "hf://meta/llama-3.2-1b-instruct-ft9@cust-Y7WbwhUXRDRvxW5aDDoEaM",
            "NIM_GUIDED_DECODING_BACKEND": "outlines"
        }

    },
)

print(f"Deployment config created: {deployment_config.name}")

DEPLOYMENT_NAME = "llama-3.2-1b-instruct-ft"

deployment = nemo_client.deployment.model_deployments.create(
    name=DEPLOYMENT_NAME,
    namespace=NMS_NAMESPACE,
    hf_token="hf_****",
    config=f"{NMS_NAMESPACE}/{deployment_config.name}"

)

print(f"Model deployment created: {deployment.name}")

i code this, not work