Qwen Vl Arabic

--- language: - ar license: apache-2.0 base_model: Qwen/Qwen2.5-VL-7B-Instruct tags: - arabic - visual-question-answering - multimodal - qwen2.5-vl - fine-tuned metrics: - exact_match --- # Qwen2.5-VL-7B Arabic VQA Fine-tuned version of [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) on Arabic Visual Question Answering data as part of the **ArabicVL-R** project. ## Model Description This model is fine-tuned to answer visual questions in Arabic, supporting reasoning over images with Arabic text responses. ## Training Data - **Dataset**: Arabic LLaVA — available at [ArabicVL-R](https://github.com/hadeelalseni/ArabicVL-R) - **Total samples**: 5,000 - **Split**: 80% train / 10% validation / 10% test - **Train**: 4,000 samples - **Validation**: 500 samples - **Test**: 500 samples ## Evaluation Results Evaluated on the test split (503 samples) using Exact Match: | Metric | Score | |---|---| | Exact Match | 0.4334 | | Accuracy | 43.34% | | Correct / Total | 218 / 503 | ## Usage ```python from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration from PIL import Image import torch model = Qwen2_5_VLForConditionalGeneration.from_pretrained( "Manar01/qwen-vl-arabic", torch_dtype=torch.float16, device_map="auto" ) processor = AutoProcessor.from_pretrained("Manar01/qwen-vl-arabic") image = Image.open("image.jpg").convert("RGB") messages = [{ "role": "user", "content": [ {"type": "image", "image": image}, {"type": "text", "text": "your question in Arabic"}, ], }] text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) inputs = processor(text=[text], images=[image], return_tensors="pt").to(model.device) with torch.no_grad(): output = model.generate(**inputs, max_new_tokens=256, do_sample=False) generated = output[0][inputs["input_ids"].shape[1]:] print(processor.decode(generated, skip_special_tokens=True)) ``` ## Authors - Sarah Aldumiji - Manar Alrabie - Hadeel Alseni - Ragheed Samkari - Mourad Mars ## Citation ```bibtex @misc{arabicvlr2026, title = {ArabicVL-R: Arabic Vision Language Model Reasoning}, author = {Sarah and Manar and Hadeel and Ragheed and Mourad}, year = {2025}, url = {https://github.com/hadeelalseni/ArabicVL-R} } ``` ## License Apache 2.0

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