first upload

README.md

@@ -1,3 +1,62 @@
 ---
 license: cc-by-nc-4.0
+datasets:
+- TIGER-Lab/MMEB-train
+- Sony/SCaR-Train
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- Qwen/Qwen2-VL-7B-Instruct
+library_name: transformers
+tags:
+- Embedding
 ---
+
+# VIRTUE Model Card
+
+[VIRTUE-2B-SCaR](https://huggingface.co/Sony/VIRTUE-2B-SCaR) and [VIRTUE-7B-SCaR](https://huggingface.co/Sony/VIRTUE-7B-SCaR) are the official checkpoints for the paper "[VIRTUE: Visual-Interactive Text-Image Universal Embedder](https://arxiv.org/abs/2510.00523)" that are trained with MMEB-Train and SCaR-Train.
+VIRTUE is a visual-interactive text-image universal embedder consisting of a VLM as well as a segmentation model to enable the visual interaction modality for human interactions.
+In addition, we introduce the SCaR benchmark ([train](https://huggingface.co/datasets/Sony/SCaR-Train), [eval](https://huggingface.co/datasets/Sony/SCaR-Eval)), composed of 1M samples for visual-interactive image-to-text retrieval, to evaluate visual-interactive embedding capabilities.
+SCaR enables evaluation of advanced reasoning and compositional tasks in multimodal, visual-interaction-aware embedding scenarios that remain unexplored.
+
+## Model Details
+
+- [VIRTUE-2B-SCaR](https://huggingface.co/Sony/VIRTUE-2B-SCaR)
+- [VIRTUE-7B-SCaR](https://huggingface.co/Sony/VIRTUE-7B-SCaR)
+
+## Experimental Results
+
+### MMEB
+- Without SCaR-Train: 
+
+  ![MMEB Results](images/MMEB-results.png)
+- With SCaR-Train
+
+  ![MMEB Results with SCaR-Train](images/MMEB-results-with-SCaR.png)
+
+
+### SCaR
+![SCaR Results](images/SCaR-results.png)
+
+## Resources
+- [Paper](https://arxiv.org/abs/2510.00523)
+- [Webpage]()
+- [Repository](https://github.com/sony/virtue)
+
+## How to Use
+
+## Citation
+```
+@article{wangICLR2026virtue,
+  author       = {Wei-Yao Wang and
+                  Kazuya Tateishi and
+                  Qiyu Wu and
+                  Shusuke Takahashi and
+                  Yuki Mitsufuji},
+  title        = {VIRTUE: Visual-Interactive Text-Image Universal Embedder},
+  journal      = {arXiv preprint arXiv:2510.00523},
+  year         = {2025}
+}
+```

config.json

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+{
+  "architectures": [
+    "Qwen2VLForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "image_token_id": 151655,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2_vl",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "mrope_section": [
+      16,
+      24,
+      24
+    ],
+    "rope_type": "default",
+    "type": "default"
+  },
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "text_config": {
+    "architectures": [
+      "Qwen2VLForConditionalGeneration"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": 151645,
+    "hidden_act": "silu",
+    "hidden_size": 1536,
+    "image_token_id": null,
+    "initializer_range": 0.02,
+    "intermediate_size": 8960,
+    "max_position_embeddings": 32768,
+    "max_window_layers": 28,
+    "model_type": "qwen2_vl_text",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 2,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": {
+      "mrope_section": [
+        16,
+        24,
+        24
+      ],
+      "rope_type": "default",
+      "type": "default"
+    },
+    "rope_theta": 1000000.0,
+    "sliding_window": 32768,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "video_token_id": null,
+    "vision_end_token_id": 151653,
+    "vision_start_token_id": 151652,
+    "vision_token_id": 151654,
+    "vocab_size": 151936
+  },
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "video_token_id": 151656,
+  "vision_config": {
+    "depth": 32,
+    "embed_dim": 1280,
+    "hidden_act": "quick_gelu",
+    "hidden_size": 1536,
+    "in_channels": 3,
+    "in_chans": 3,
+    "initializer_range": 0.02,
+    "mlp_ratio": 4,
+    "model_type": "qwen2_vl",
+    "num_heads": 16,
+    "patch_size": 14,
+    "spatial_merge_size": 2,
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+    "temporal_patch_size": 2,
+    "torch_dtype": "bfloat16"
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+  "vision_end_token_id": 151653,
+  "vision_start_token_id": 151652,
+  "vision_token_id": 151654,
+  "vocab_size": 151936,
+  "virtue_sam": {
+    "enabled": true,
+    "config_path": "./sam2.1/sam2.1_hiera_b+.yaml",
+    "checkpoint": "./sam2_checkpoints/sam2.1_hiera_base_plus.pt",
+    "points_per_side": 3,
+    "feature_levels": 2
+  }
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.01,
+  "top_k": 1,
+  "top_p": 0.001,
+  "transformers_version": "4.52.3"
+}

preprocessor_config.json

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+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
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+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 1003520,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 1003520,
+    "shortest_edge": 3136
+  },
+  "temporal_patch_size": 2
+}

pytorch_model.bin

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sam2_reducer_and_vlm_layer.pth

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special_tokens_map.json

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+    "<|im_end|>",
+    "<|object_ref_start|>",
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tokenizer.json

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tokenizer_config.json

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+}