Aekkawat
AekDevDev
·
AI & ML interests
I am learning to code Python and Machine learning
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bullerwins/Wan2.2-I2V-A14B-GGUF
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openbmb/MiniCPM-V-4
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about 11 hours ago
I've added the demo of the https://huggingface.co/openbmb/MiniCPM-V-4 model to the Hugging Face Space:
https://huggingface.co/spaces/prithivMLmods/Multimodal-VLM-Thinking
✨ MiniCPM-V 4.0 is the latest efficient model in the MiniCPM-V series. The model is built based on SigLIP2-400M and MiniCPM4-3B, with a total of 4.1B parameters. It inherits the strong single-image, multi-image, and video understanding performance of MiniCPM-V 2.6 with largely improved efficiency.
✨ With only 4.1B parameters, MiniCPM-V 4.0 achieves an average score of 69.0 on OpenCompass, a comprehensive evaluation of 8 popular benchmarks. This performance surpasses GPT-4.1-mini-20250414, MiniCPM-V 2.6 (8.1B parameters, OpenCompass 65.2), and Qwen2.5-VL-3B-Instruct (3.8B parameters, OpenCompass 64.5). It also shows good performance in multi-image and video understanding.
The community GPU grant was given by Hugging Face — special thanks to them. 🤗🚀
To know more about it, visit the model card of the respective model. !!
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