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README.md
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@@ -39,7 +39,7 @@ One standing-out feature of **EraX-VL-7B-v1** is the capability to do multi-turn
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**EraX-VL-7B-V1** is a young member of our **EraX's LΓ nhGPT** collection of LLM models.
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**WE ARE MOVING to <a href="https://huggingface.co/erax-ai/" target="_blank">EraX-AI</a> repository from 22 October 2024. Follow up so you do not miss great news coming up.**
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We are excited to introduce **EraX-VL-7B-v1**, a robust multimodal model for **OCR (optical character recognition)** and **VQA (visual question-answering)** that excels in various languages π, with a particular focus on Vietnamese π»π³. The `EraX-VL-7B` model stands out for its precise recognition capabilities across a range of documents π, including medical forms π©Ί, invoices π§Ύ, bills of sale π³, quotes π, and medical records π. This functionality is expected to be highly beneficial for hospitals π₯, clinics π, insurance companies π‘οΈ, and other similar applications π. Built on the solid foundation of the [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)[1], which we found to be of high quality and fluent in Vietnamese, `EraX-VL-7B` has been fine-tuned to enhance its performance. We plan to continue improving and releasing new versions for free, along with sharing performance benchmarks in the near future.
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**EraX-VL-7B-V1** is a young member of our **EraX's LΓ nhGPT** collection of LLM models.
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**WE ARE MOVING to <a href="https://huggingface.co/erax-ai/EraX-VL-7B-V1/" target="_blank">EraX-AI</a> repository from 22 October 2024. Follow up so you do not miss great news coming up.**
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We are excited to introduce **EraX-VL-7B-v1**, a robust multimodal model for **OCR (optical character recognition)** and **VQA (visual question-answering)** that excels in various languages π, with a particular focus on Vietnamese π»π³. The `EraX-VL-7B` model stands out for its precise recognition capabilities across a range of documents π, including medical forms π©Ί, invoices π§Ύ, bills of sale π³, quotes π, and medical records π. This functionality is expected to be highly beneficial for hospitals π₯, clinics π, insurance companies π‘οΈ, and other similar applications π. Built on the solid foundation of the [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)[1], which we found to be of high quality and fluent in Vietnamese, `EraX-VL-7B` has been fine-tuned to enhance its performance. We plan to continue improving and releasing new versions for free, along with sharing performance benchmarks in the near future.
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