add AIBOM

ByteDance-Seed_UI-TARS-7B-SFT.json

@@ -0,0 +1,62 @@
+{
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:3055ead6-57c6-4f53-b237-31c297a9a0db",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2025-06-05T09:41:54.385491+00:00",
+        "component": {
+            "type": "machine-learning-model",
+            "bom-ref": "ByteDance-Seed/UI-TARS-7B-SFT-2563bff1-2155-555e-9ebd-c56f1c3410c5",
+            "name": "ByteDance-Seed/UI-TARS-7B-SFT",
+            "externalReferences": [
+                {
+                    "url": "https://huggingface.co/ByteDance-Seed/UI-TARS-7B-SFT",
+                    "type": "documentation"
+                }
+            ],
+            "modelCard": {
+                "modelParameters": {
+                    "task": "image-text-to-text",
+                    "architectureFamily": "qwen2_vl",
+                    "modelArchitecture": "Qwen2VLForConditionalGeneration"
+                },
+                "properties": [
+                    {
+                        "name": "library_name",
+                        "value": "transformers"
+                    }
+                ]
+            },
+            "authors": [
+                {
+                    "name": "ByteDance-Seed"
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "id": "Apache-2.0",
+                        "url": "https://spdx.org/licenses/Apache-2.0.html"
+                    }
+                }
+            ],
+            "description": "UI-TARS is a next-generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human-like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI-TARS integrates all key components\u2014perception, reasoning, grounding, and memory\u2014within a single vision-language model (VLM), enabling end-to-end task automation without predefined workflows or manual rules.<!-- ![Local Image](figures/UI-TARS.png) --><p align=\"center\"><img src=\"https://github.com/bytedance/UI-TARS/blob/main/figures/UI-TARS-vs-Previous-SOTA.png?raw=true\" width=\"90%\"/><p><p align=\"center\"><img src=\"https://github.com/bytedance/UI-TARS/blob/main/figures/UI-TARS.png?raw=true\" width=\"90%\"/><p><!-- ![Local Image](figures/UI-TARS-vs-Previous-SOTA.png) -->This repository contains the model for the paper [UI-TARS: Pioneering Automated GUI Interaction with Native Agents](https://huggingface.co/papers/2501.12326).Code: https://github.com/bytedance/UI-TARS",
+            "tags": [
+                "transformers",
+                "safetensors",
+                "qwen2_vl",
+                "image-text-to-text",
+                "multimodal",
+                "gui",
+                "conversational",
+                "en",
+                "arxiv:2501.12326",
+                "license:apache-2.0",
+                "text-generation-inference",
+                "endpoints_compatible",
+                "region:us"
+            ]
+        }
+    }
+}