Minicpm V 2 6 A Gpt 4v Level Multimodal Llms For Single Image Multi Image And Video On Your

MiniCPM-V: A GPT-4V Level MLLM On Your Phone | PDF

MiniCPM-V: A GPT-4V Level MLLM On Your Phone | PDF As a result, most mllms need to be deployed on high performing cloud servers, which greatly limits their application scopes such as mobile, offline, energy sensitive, and privacy protective scenarios. in this work, we present minicpm v, a series of efficient mllms deployable on end side devices. Minicpm v 2.6 can also accept video inputs, performing conversation and providing dense captions for spatial temporal information. it outperforms gpt 4v, claude 3.5 sonnet and llava next video 34b on video mme with/without subtitles.

MiniCPM-V 2.6: A GPT-4V Level Multimodal LLMs For Single Image, Multi-Image, And Video On Your ...

MiniCPM-V 2.6: A GPT-4V Level Multimodal LLMs For Single Image, Multi-Image, And Video On Your ... ## demo click here to try the demo of [minicpm v 2.6] (https://huggingface.co/spaces/openbmb/minicpm v 2 6). ## usage inference using huggingface transformers on nvidia gpus. This video shows how to locally install minicpm v 2.6 which is the latest and most capable model in the minicpm v series. The minicpm v 2.6, with 8 billion parameters, not only catches up to gpt 4v in overall performance but also marks the first time an edge model has completely surpassed gpt 4v in three core multimodal capabilities: single image understanding, multi image understanding, and video comprehension. Discover minicpm v 2.6, the pinnacle of the minicpm v series with 8 billion parameters, excelling in multi image and video comprehension. featuring robust ocr, efficient image processing, and real time video understanding on ipads, it sets new standards in ai benchmarks, surpassing gpt 4v and claude.

How To Use MiniCPM-Llama3-V, The GPT-4V Level Multimodal LLM On Your Phone - Fxis.ai

How To Use MiniCPM-Llama3-V, The GPT-4V Level Multimodal LLM On Your Phone - Fxis.ai The minicpm v 2.6, with 8 billion parameters, not only catches up to gpt 4v in overall performance but also marks the first time an edge model has completely surpassed gpt 4v in three core multimodal capabilities: single image understanding, multi image understanding, and video comprehension. Discover minicpm v 2.6, the pinnacle of the minicpm v series with 8 billion parameters, excelling in multi image and video comprehension. featuring robust ocr, efficient image processing, and real time video understanding on ipads, it sets new standards in ai benchmarks, surpassing gpt 4v and claude. The minicpm v 2.6 has been introduced as a gpt 4v level multimodal large language model (mllm) that can be deployed on mobile devices. this latest iteration in the minicpm v series is built on the siglip 400m and qwen2 7b frameworks, featuring a total of 8 billion parameters. In this work, we present minicpm v, a series of efficient mllms deployable on end side devices. the philosophy of minicpm v is to achieve a good balance between performance and efficiency, a more important objective in real world applications. Minicpm o is the latest series of end side multimodal llms (mllms) ungraded from minicpm v. the models can now take images, video, text, and audio as inputs and provide high quality text and speech outputs in an end to end fashion. Minicpm v 2.6 represents a significant leap in machine learning for visual understanding, offering unmatched performance, efficiency, and usability across single image, multi image, and video processing tasks.

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