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vikrantrathore | 1 year ago

How does it compare with MiniCPM-Llama3-V 2.5 [0]? Based on what I see it seems much better than Llama 3-V on the benchmarks. Also it can directly be tried on Huggingface Spaces to check the performance [1]. It has the dataset, code and fine-tuning details with screenshots of it running on Xiaomi 14 pro. It has strong OCR performance and supports 30+ languages.

[0] https://github.com/OpenBMB/MiniCPM-V

[1] https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5

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cpursley|1 year ago

Woah, this actually did quite well on table data extraction. I wonder how this could be used for long documents. Maybe paired with some kind of hybrid rag approach.