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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6336b5c831efcb5647f00170/MagGtnflTgsxkel9U71ot.png)
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- # A Chill guy is writing 😎 ....
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- # This is our basic reasoning model before enhanced by Reinforcement Learning.
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Benchmarks πŸ“ˆ
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6336b5c831efcb5647f00170/MagGtnflTgsxkel9U71ot.png)
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+ ## This is our basic reasoning model before enhanced by Reinforcement Learning.
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+ Multimodal LLM x Reasoning Model πŸ‘€ 🧠 πŸ”
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+ After more than six months since creating the 5CD-AI/LLaVA-CoT-o1-Instruct datasetβ€”one of Hugging Face’s most liked datasets of 2024 πŸŽ‰β€”we 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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+ πŸ› 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? πŸ€”
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+ - **Vintern-1B-v3.5**: Fast ⚑ and good for Vietnamese OCR with simple text formatting. πŸ“
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+ - **Vintern-3B-R-beta**: Better for complex questions and structured text. πŸ”πŸ“š OCR performance on blurred or unclear text may be slightly affected due to our training focus on reasoning. πŸ”πŸ€–
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+ πŸš€ The next step? Training and enhancing its reasoning ability by Reinforcement Learning!
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  ## Benchmarks πŸ“ˆ
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