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Clean up instructions and implementation; reorganize notebooks
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docs/notebooks/nvidia/tool_calling/config.py
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docs/notebooks/nvidia/tool_calling/config.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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# (Required) NeMo Microservices URLs
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NDS_URL = "http://data-store.test:3000" # Data Store
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NEMO_URL = "http://nemo.test:3000" # Customizer, Evaluator, Guardrails
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NIM_URL = "http://nim.test:3000" # NIM
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# (Required) Hugging Face Token
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HF_TOKEN = ""
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# (Optional) Modify if you've configured a NeMo Data Store token
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NDS_TOKEN = "token"
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# (Optional) Use a dedicated namespace and dataset name for tutorial assets
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NMS_NAMESPACE = "nvidia-tool-calling-tutorial"
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DATASET_NAME = "xlam-ft-dataset-1"
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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/Llama-3.2-1B-Instruct"
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# (Optional) NVIDIA User ID - currently unused
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USER_ID = ""
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# (Optional) Entity Store Project ID. Modify if you've created a project in Entity Store that you'd
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# like to associate with your Customized models.
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PROJECT_ID = ""
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# (Optional) Directory to save the Customized model.
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CUSTOMIZED_MODEL_DIR = "nvidia-tool-calling-tutorial/test-llama-stack@v1"
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