What are the hardware requirements for MiniCPM4 8B MNN?

MiniCPM4 8B MNN requires approximately 0.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniCPM4 8B MNN and how large is it?

MiniCPM4 8B MNN is developed by taobao-mnn, a model with 8b 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 MiniCPM4 8B MNN?

MiniCPM4 8B MNN is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniCPM4 8B MNN by taobao-mnn — VRAM 0.6GB

Name: MiniCPM4 8B MNN
Author: taobao-mnn

MiniCPM4 8B MNN is an open-source language model by taobao-mnn. Features: 8b LLM, VRAM: 0.6GB, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:openbmb/minicpm4-0.... Base model:quantized:openbmb/m... Chat En Region:us

Model Card on HF 🤗: https://huggingface.co/taobao-mnn/MiniCPM4-8B-MNN

MiniCPM4 8B MNN Parameters and Internals

LLM Name	MiniCPM4 8B MNN
Repository 🤗	https://huggingface.co/taobao-mnn/MiniCPM4-8B-MNN
Base Model(s)	openbmb/MiniCPM4-0.5B openbmb/MiniCPM4-0.5B
Model Size	8b
Required VRAM	0.6 GB
Updated	2026-08-05
Maintainer	taobao-mnn
Model Files	0.6 GB
Supported Languages	en
License	apache-2.0

Rank the MiniCPM4 8B 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