Merge pull request #6 from NVIDIA-AI-Blueprints/gus/edit_notebook

Updated NIM container links & docs links

Author: LinshiTemp

deploy/1_HuggingFace_Safetensors.ipynb

@@ -24,9 +24,7 @@
     "\n",
     "# Deploy HuggingFace Safetensor LLM Weights with NIM\n",
     "\n",
-    "This notebook shows you how to deploy the most common type of LLM - HuggingFace models in Safetensors format - using NVIDIA NIM. This is the easiest way to get started with NIM deployment. For the complete list of LLMs supported by NIM, see the [NIM LLM Documentation](https://docs.nvidia.com/nim/large-language-models/latest/supported-architectures.html)\n",
-    "\n",
-    "> INTERNAL NOTE: LINK ABOVE IS NOT YET LIVE, SEE VDR DOCS FOR DETAILS\n",
+    "This notebook shows you how to deploy the most common type of LLM - HuggingFace models in Safetensors format - using NVIDIA NIM. This is the easiest way to get started with NIM deployment. For the complete list of LLMs supported by NIM, see the [NIM LLM Documentation](https://docs.nvidia.com/nim/large-language-models/latest/supported-llm-agnostic-architectures.html)\n",
     "\n",
     "## What You'll Build\n",
     "\n",
@@ -205,8 +203,7 @@
    "outputs": [],
    "source": [
     "# Set the NIM image\n",
-    "# INTERNAL NOTE: IMAGE BELOW IS PREVIEW VERSION, TO BE REPLACED WHEN STABLE VERSION IS RELEASED\n",
-    "os.environ['NIM_IMAGE'] = \"nvcr.io/nvidian/nim-llm-dev/universal-nim:1.11.0.rc7\"\n",
+    "os.environ['NIM_IMAGE'] = \"nvcr.io/nvidia/nim/nim-llm:latest\"\n",
     "print(f\"Using NIM image: {os.environ['NIM_IMAGE']}\")"
    ]
   },
@@ -932,6 +929,9 @@
    "cell_metadata_filter": "-all",
    "main_language": "python",
    "notebook_metadata_filter": "-all"
+  },
+  "language_info": {
+   "name": "python"
   }
  },
  "nbformat": 4,

deploy/2_TRTLLM_Checkpoints_Engines.ipynb

@@ -216,8 +216,7 @@
    "outputs": [],
    "source": [
     "# Set the NIM image\n",
-    "# INTERNAL NOTE: IMAGE BELOW IS PREVIEW VERSION, TO BE REPLACED WHEN STABLE VERSION IS RELEASED\n",
-    "os.environ['NIM_IMAGE'] = \"nvcr.io/nvidian/nim-llm-dev/universal-nim:1.11.0.rc7\"\n",
+    "os.environ['NIM_IMAGE'] = \"nvcr.io/nvidia/nim/nim-llm:latest\"\n",
     "print(f\"Using NIM image: {os.environ['NIM_IMAGE']}\")"
    ]
   },
@@ -839,6 +838,9 @@
    "cell_metadata_filter": "-all",
    "main_language": "python",
    "notebook_metadata_filter": "-all"
+  },
+  "language_info": {
+   "name": "python"
   }
  },
  "nbformat": 4,

deploy/3_GGUF_Checkpoints.ipynb

@@ -233,8 +233,8 @@
    },
    "outputs": [],
    "source": [
-    "# Set the NIM image - using universal NIM for GGUF support\n",
-    "os.environ['NIM_IMAGE'] = \"nvcr.io/nvidian/nim-llm-dev/universal-nim:1.11.0.rc7\"\n",
+    "# Set the NIM image\n",
+    "os.environ['NIM_IMAGE'] = \"nvcr.io/nvidia/nim/nim-llm:latest\"\n",
     "print(f\"Using NIM image: {os.environ['NIM_IMAGE']}\")"
    ]
   },
@@ -700,6 +700,9 @@
    "cell_metadata_filter": "-all",
    "main_language": "python",
    "notebook_metadata_filter": "-all"
+  },
+  "language_info": {
+   "name": "python"
   }
  },
  "nbformat": 4,