Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
+tags:
+- mm math reasoning
+datasets:
+- open-r1/OpenR1-Math-220k
+metrics:
+- accuracy
+---
+
+# TBAC-VLR1-7B-SFT
+
+## Overview
+This is a multimodal language model fine-tuned by **Tencent PCG Basic Algorithm Center**. Based on Qwen2.5-VL-7B-Instruct, TBAC-VLR1-7B-SFT undergoes SFT
+training using 40k sft data filtered from OpenR1-Math-220k. TBAC-VLR1-3B then employs GRPO (Group Relative Policy Optimization) and adapts Clip-Higher from DAPO, 
+achieving strong performance on several multimodal reasoning benchmarks among models of the same size.
+
+
+## Performance
+| Model                              | **Average** | **MathVista** | **MathVision** | **MathVerse** | **DynaMath** | **LogicVista** |
+| :--------------------------------: | :---------: | :-----------: | :------------: | :-----------: | :----------: | :------------: |
+| Qwen2.5-VL-7B                      | 40.5        | 68.0          | 25.7           | 45.5          | 21.8         | 41.2           |
+| VLAA-Thinker-Qwen2.5-7B            | 42.7        | 68.0          | 26.4           | 48.2          | 22.4         | 48.5           |
+| VL-Rethinker-7B                    | 41.8        | 73.7          | 28.4           | 46.4          | 17.8         | 42.7           |
+| TBAC-VLR1-7B-RL                    | 41.3        | 70.1          | 25.4           | 43.4          | 19.0         | 48.4           |
+| TBAC-VLR1-7B-SFT                   | 41.8        | 65.1          | 28.5           | 49.1          | 20.6         | 45.5           |
+| TBAC-VLR1-7B                       | **43.4**    | 66.7          | **31.4**       | **50.1**      | **22.6**     | 46.4           |
+
+ 
+<!-- ![Performance](./assets/performance.png) -->
+
+<!-- ![Performance](https://cdn-uploads.huggingface.co/production/uploads/669f83bf353227efaefe83d9/ZXZShbuxRBWIzEeV9-WMt.png) -->
+
+<!-- The compared results are sourced from https://opencompass.org.cn. -->
+
+The results of our model are self-reported, obtained by running evaluations offline on each benchmark.
+
+## Usage
+```python
+from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
+from qwen_vl_utils import process_vision_info
+
+model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
+    "TencentBAC/TBAC-VLR1-7B", torch_dtype="auto", device_map="auto"
+)
+
+processor = AutoProcessor.from_pretrained("TencentBAC/TBAC-VLR1-7B")
+
+messages = [
+    {
+        "role": "system",
+        "content": "You FIRST think about the reasoning process as an internal monologue and then provide the final answer. The reasoning process MUST BE enclosed within <think> </think> tags. The final answer MUST BE put in \\boxed{}."
+    },
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "image",
+                "image": image_path,
+            },
+            {"type": "text", "text": query},
+        ],
+    }
+]
+
+# Preparation for inference
+text = processor.apply_chat_template(
+    messages, tokenize=False, add_generation_prompt=True
+)
+image_inputs, video_inputs = process_vision_info(messages)
+inputs = processor(
+    text=[text],
+    images=image_inputs,
+    videos=video_inputs,
+    padding=True,
+    return_tensors="pt",
+)
+inputs = inputs.to("cuda")
+
+# Inference: Generation of the output
+generated_ids = model.generate(**inputs, max_new_tokens=128, do_sample=False)
+generated_ids_trimmed = [
+    out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
+]
+output_text = processor.batch_decode(
+    generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
+)
+print(output_text)
+```
+## Citation
+If you find our model useful in your research, please consider giving ❤️ and citations. Thanks!
+```
+@misc{Ou2025TBACVLR1,
+  title = {TBAC-VLR1-7B},
+  author = {Ou, Linyu and Xu, Junzhe and Yin, Yuyang},
+  year = {2025},
+  url = {https://huggingface.co/TencentBAC/TBAC-VLR1-7B},
+}
+```
+
+---
+
+**About**
+
+Created by the Tencent PCG Basic Algorithm Center. All rights reserved.