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Remove unused env vars; change the other tmp folder name; fix examples

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Jash Gulabrai 2025-04-28 13:08:36 -04:00
parent c3d8940c95
commit 29f57d528d
9 changed files with 4 additions and 13 deletions
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3
.gitignore vendored
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@ -18,7 +18,8 @@ Package.resolved
.vscode
_build
docs/src
docs/notebooks/nvidia/tool_calling/tmp/
# Sample tool-calling datasets generated by NVIDIA notebooks
docs/notebooks/nvidia/tool_calling/sample_data/
pyrightconfig.json
venv/
pytest-report.xml

1
docs/notebooks/nvidia/beginner_e2e/Llama_Stack_NVIDIA_E2E_Flow.ipynb
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@ -136,7 +136,6 @@
"from docs.notebooks.nvidia.beginner_e2e.config import *\n",
"\n",
"# Metadata associated with Datasets and Customization Jobs\n",
"os.environ[\"NVIDIA_USER_ID\"] = USER_ID\n",
"os.environ[\"NVIDIA_DATASET_NAMESPACE\"] = NAMESPACE\n",
"os.environ[\"NVIDIA_PROJECT_ID\"] = PROJECT_ID\n",
"\n",

3
docs/notebooks/nvidia/beginner_e2e/config.py
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@ -18,9 +18,6 @@ HF_TOKEN = ""
# (Optional) Namespace to associate with Datasets and Customization jobs
NAMESPACE = "nvidia-e2e-tutorial"
# (Optional) NVIDIA User ID - currently unused
USER_ID = ""
# (Optional) Entity Store Project ID. Modify if you've created a project in Entity Store that you'd
# like to associate with your Customized models.
PROJECT_ID = ""

2
docs/notebooks/nvidia/tool_calling/1_data_preparation.ipynb
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@ -154,7 +154,7 @@
"outputs": [],
"source": [
"# Processed data will be stored here\n",
"DATA_ROOT = os.path.join(os.getcwd(), \"tmp\")\n",
"DATA_ROOT = os.path.join(os.getcwd(), \"sample_data\")\n",
"CUSTOMIZATION_DATA_ROOT = os.path.join(DATA_ROOT, \"customization\")\n",
"VALIDATION_DATA_ROOT = os.path.join(DATA_ROOT, \"validation\")\n",
"EVALUATION_DATA_ROOT = os.path.join(DATA_ROOT, \"evaluation\")\n",

3
docs/notebooks/nvidia/tool_calling/2_finetuning_and_inference.ipynb
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@ -30,7 +30,6 @@
"outputs": [],
"source": [
"# Metadata associated with Datasets and Customization Jobs\n",
"os.environ[\"NVIDIA_USER_ID\"] = USER_ID\n",
"os.environ[\"NVIDIA_DATASET_NAMESPACE\"] = NMS_NAMESPACE\n",
"os.environ[\"NVIDIA_PROJECT_ID\"] = PROJECT_ID\n",
"\n",
@ -164,7 +163,7 @@
"outputs": [],
"source": [
"# Path where data preparation notebook saved finetuning and evaluation data\n",
"DATA_ROOT = os.path.join(os.getcwd(), \"tmp\")\n",
"DATA_ROOT = os.path.join(os.getcwd(), \"sample_data\")\n",
"CUSTOMIZATION_DATA_ROOT = os.path.join(DATA_ROOT, \"customization\")\n",
"VALIDATION_DATA_ROOT = os.path.join(DATA_ROOT, \"validation\")\n",
"EVALUATION_DATA_ROOT = os.path.join(DATA_ROOT, \"evaluation\")\n",

1
docs/notebooks/nvidia/tool_calling/3_model_evaluation.ipynb
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@ -30,7 +30,6 @@
"outputs": [],
"source": [
"# Metadata associated with Datasets and Customization Jobs\n",
"os.environ[\"NVIDIA_USER_ID\"] = USER_ID\n",
"os.environ[\"NVIDIA_DATASET_NAMESPACE\"] = NMS_NAMESPACE\n",
"os.environ[\"NVIDIA_PROJECT_ID\"] = PROJECT_ID\n",
"\n",

1
docs/notebooks/nvidia/tool_calling/4_adding_safety_guardrails.ipynb
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@ -30,7 +30,6 @@
"outputs": [],
"source": [
"# Metadata associated with Datasets and Customization Jobs\n",
"os.environ[\"NVIDIA_USER_ID\"] = USER_ID\n",
"os.environ[\"NVIDIA_DATASET_NAMESPACE\"] = NMS_NAMESPACE\n",
"os.environ[\"NVIDIA_PROJECT_ID\"] = PROJECT_ID\n",
"\n",

2
docs/notebooks/nvidia/tool_calling/config.py
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@ -22,8 +22,6 @@ NDS_TOKEN = "token"
NMS_NAMESPACE = "nvidia-tool-calling-tutorial"
DATASET_NAME = "xlam-ft-dataset-1"
# (Optional) NVIDIA User ID - currently unused
USER_ID = ""
# (Optional) Entity Store Project ID. Modify if you've created a project in Entity Store that you'd
# like to associate with your Customized models.
PROJECT_ID = ""

1
llama_stack/providers/remote/datasetio/nvidia/README.md
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@ -32,7 +32,6 @@ import os
os.environ["NVIDIA_API_KEY"] = "your-api-key"
os.environ["NVIDIA_CUSTOMIZER_URL"] = "http://nemo.test"
os.environ["NVIDIA_USER_ID"] = "llama-stack-user"
os.environ["NVIDIA_DATASET_NAMESPACE"] = "default"
os.environ["NVIDIA_PROJECT_ID"] = "test-project"
from llama_stack.distribution.library_client import LlamaStackAsLibraryClient