MiniCPM3.0

Closed weights Mianbi Intelligence 4B parameters September 2024

No estimate

No hardware requirements for this model

The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
Mianbi Intelligence
Organisation type
Industry
Country
China
Published
6 September 2024
Authors
AIbase基地

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Language

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Parameters
4B

"The MiniCPM3.0 model boasts 4 billion parameters" (https://www.aibase.com/news/11581).

Training data
tokens

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Record confidence
Confident

Sources

Where this record came from and when it was last checked.

Reference
MianBi Intelligence Launches MiniCPM 3.0 Edge Model: Runs on 2GB Memory with Performance Exceeding GPT-3.5
Last updated
28 November 2025

What the numbers mean

Background

MiniCPM3.0 was published by Mianbi Intelligence, in China, in September 2024. The organisation is categorised as industry.

It works in Language.

This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.

Answers

MiniCPM3.0 — common questions

01

How many parameters does MiniCPM3.0 have?

MiniCPM3.0 has 4B parameters. "The MiniCPM3.0 model boasts 4 billion parameters" (https://www.aibase.com/news/11581). That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.

02

Who created MiniCPM3.0?

MiniCPM3.0 was published by Mianbi Intelligence, based in China, categorised as industry.

03

When was MiniCPM3.0 released?

MiniCPM3.0 was published in September 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.

04

What is MiniCPM3.0 used for?

MiniCPM3.0 works in Language. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

05

What GPU do I need to run MiniCPM3.0?

None. MiniCPM3.0 is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.

06

Is MiniCPM3.0 open source?

The licensing for MiniCPM3.0 was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.

Source

Original publication

Record last updated 28 November 2025

The other direction

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