Minicpm V 4 5 Local Setup Full Review It Reads Images Text Videos And Docs

MiniCPM-V-2_6 - A Hugging Face Space By TomatoFull

MiniCPM-V-2_6 - A Hugging Face Space By TomatoFull Ever wanted an all in one ai assistant that can understand images, read videos, and analyze pdfs, all running locally on your own computer? look no further! the open source minicpm v model from. Minicpm v is a series of efficient end side multimodal llms (mllms), which accept images, videos and text as inputs and deliver high quality text outputs. minicpm o additionally takes audio as inputs and provides high quality speech outputs in an end to end fashion.

Minicpm-v

Minicpm-v Hey there, ai adventurers! 🤖 this is the second part of our three part series on minicpm v, where we dive into the technical setup, installation, and usage of these amazing models. Powered by a new unified 3d resampler over images and videos, minicpm v 4.5 can now achieve 96x compression rate for video tokens, where 6 448x448 video frames can be jointly compressed into 64 video tokens (normally 1,536 tokens for most mllms). On documents and screenshots, minicpm v 4.5 has that “did you really just read that?” feeling. it uses a high res pipeline (think llava uhd style) so it can digest up to ~1.8m pixels with far fewer visual tokens than typical mllms. even better, the training recipe deliberately corrupts text regions and asks the model to reconstruct them. # see our recipe notebooks for detailed instructions.

MiniCPM-V和OmniLMM都支持中文吗？ · Issue #54 · OpenBMB/MiniCPM-V · GitHub

MiniCPM-V和OmniLMM都支持中文吗？ · Issue #54 · OpenBMB/MiniCPM-V · GitHub On documents and screenshots, minicpm v 4.5 has that “did you really just read that?” feeling. it uses a high res pipeline (think llava uhd style) so it can digest up to ~1.8m pixels with far fewer visual tokens than typical mllms. even better, the training recipe deliberately corrupts text regions and asks the model to reconstruct them. # see our recipe notebooks for detailed instructions. Explore real world examples of minicpm v deployed on edge devices using our curated recipes. these demos highlight the model’s high efficiency and robust performance in practical scenarios. 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. notable features of minicpm v 4.0 include: 🔥 leading visual capability. This video locally installs and tests minicpm v 4.5 8b model and tests for long video and vision understanding. more. With state of the art ocr, high efficiency video understanding, and fast/deep reasoning modes, it consistently beats bigger models while staying lightweight enough for local deployment.

Deploy MiniCPM-V 2.5 With Vllm · Issue #107 · OpenBMB/MiniCPM-V · GitHub

Deploy MiniCPM-V 2.5 With Vllm · Issue #107 · OpenBMB/MiniCPM-V · GitHub Explore real world examples of minicpm v deployed on edge devices using our curated recipes. these demos highlight the model’s high efficiency and robust performance in practical scenarios. 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. notable features of minicpm v 4.0 include: 🔥 leading visual capability. This video locally installs and tests minicpm v 4.5 8b model and tests for long video and vision understanding. more. With state of the art ocr, high efficiency video understanding, and fast/deep reasoning modes, it consistently beats bigger models while staying lightweight enough for local deployment.

MiniCPM-V 4.5: GPT-4o-Level AI on Your Phone for Images, Videos & Docs!