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## Benchmarks π
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## This is our basic reasoning model before enhanced by Reinforcement Learning.
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Multimodal LLM x Reasoning Model π π§ π
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After more than six months since creating the 5CD-AI/LLaVA-CoT-o1-Instruct datasetβone of Hugging Faceβs most liked datasets of 2024 πβwe have just completed the "base" version of the Vintern Reasoning Model!
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- This model can perform long and complex reasoning based on images, breaking down each reasoning step into multiple sub-steps while keeping hallucinations under control.
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π οΈ We also successfully implemented the GRPO algorithm on the Vintern Multimodel model!
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- Despite the difficulty of balancing multiple tasks alongside reasoning, Vintern-3B-R-beta has outperformed all previous versions across various benchmarks!
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When should you choose Vintern-1B-3.5 vs. Vintern-3B-R-beta? π€
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- **Vintern-1B-v3.5**: Fast β‘ and good for Vietnamese OCR with simple text formatting. π
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- **Vintern-3B-R-beta**: Better for complex questions and structured text. ππ OCR performance on blurred or unclear text may be slightly affected due to our training focus on reasoning. ππ€
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π The next step? Training and enhancing its reasoning ability by Reinforcement Learning!
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## Benchmarks π
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