add AIBOM

internlm_internlm2_5-7b-chat.json

@@ -0,0 +1,58 @@
+{
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:ff6193bd-9554-4b7f-a58c-756d9db69bcb",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2025-06-05T09:35:32.373679+00:00",
+        "component": {
+            "type": "machine-learning-model",
+            "bom-ref": "internlm/internlm2_5-7b-chat-32b070af-4c58-586a-a31a-ee5c97440384",
+            "name": "internlm/internlm2_5-7b-chat",
+            "externalReferences": [
+                {
+                    "url": "https://huggingface.co/internlm/internlm2_5-7b-chat",
+                    "type": "documentation"
+                }
+            ],
+            "modelCard": {
+                "modelParameters": {
+                    "task": "text-generation",
+                    "architectureFamily": "internlm2",
+                    "modelArchitecture": "InternLM2ForCausalLM"
+                },
+                "properties": [
+                    {
+                        "name": "library_name",
+                        "value": "transformers"
+                    }
+                ]
+            },
+            "authors": [
+                {
+                    "name": "internlm"
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "name": "other"
+                    }
+                }
+            ],
+            "description": "InternLM2.5 has open-sourced a 7 billion parameter base model and a chat model tailored for practical scenarios. The model has the following characteristics:- **Outstanding reasoning capability**: State-of-the-art performance on Math reasoning, surpassing models like Llama3 and Gemma2-9B.- **1M Context window**: Nearly perfect at finding needles in the haystack with 1M-long context, with leading performance on long-context tasks like LongBench. Try it with [LMDeploy](https://github.com/InternLM/InternLM/blob/main/chat/lmdeploy.md) for 1M-context inference.- **Stronger tool use**: InternLM2.5 supports gathering information from more than 100 web pages, corresponding implementation has be released in [MindSearch](https://github.com/InternLM/MindSearch). InternLM2.5 has better tool utilization-related capabilities in instruction following, tool selection and reflection. See [examples](https://github.com/InternLM/InternLM/blob/main/agent/lagent.md).",
+            "tags": [
+                "transformers",
+                "safetensors",
+                "internlm2",
+                "text-generation",
+                "conversational",
+                "custom_code",
+                "arxiv:2403.17297",
+                "license:other",
+                "autotrain_compatible",
+                "region:us"
+            ]
+        }
+    }
+}