What are the hardware requirements for MiniCPM V 4.7 1B MNN?

MiniCPM V 4.7 1B MNN requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniCPM V 4.7 1B MNN and how large is it?

MiniCPM V 4.7 1B MNN is developed by taobao-mnn, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate MiniCPM V 4.7 1B MNN?

MiniCPM V 4.7 1B MNN is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniCPM V 4.7 1B MNN by taobao-mnn — VRAM 0.5GB

Name: MiniCPM V 4.7 1B MNN
Author: taobao-mnn

MiniCPM V 4.7 1B MNN is an open-source language model by taobao-mnn. Features: 1b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:finetune:openbmb/mi... Base model:openbmb/minicpm-v-4... Image-text-to-text Mnn Quantized Region:us Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/taobao-mnn/MiniCPM-V-4.7-1B-MNN

MiniCPM V 4.7 1B MNN Parameters and Internals

LLM Name	MiniCPM V 4.7 1B MNN
Repository 🤗	https://huggingface.co/taobao-mnn/MiniCPM-V-4.7-1B-MNN
Base Model(s)	openbmb/MiniCPM-V-4.7-1B openbmb/MiniCPM-V-4.7-1B
Model Size	1b
Required VRAM	0.5 GB
Updated	2026-10-27
Maintainer	taobao-mnn
Model Files	0.5 GB
License	apache-2.0

Rank the MiniCPM V 4.7 1B MNN capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation