M6-100B

Closed weights Tsinghua University,Alibaba 100B parameters March 2021

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
Tsinghua University,Alibaba
Organisation type
Academia,Industry
Country
China
Published
1 March 2021
Authors
J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang

What it does

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

Domain
Multimodal, Image generation, Vision, Language
Task
Image generation, Visual question answering

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
100B

"We scale the model size up to 10 billion and 100 billion parameters, and build the largest pretrained model in Chinese."

Training data
tokens

"1.9TB images and 292GB texts" TODO: figure out what to do for multimodal pretraining datasets

How it is classified

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

Citations
152

Sources

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

Reference
M6: A Chinese Multimodal Pretrainer
Last updated
25 May 2026

What the numbers mean

What this model is

M6-100B was published by Tsinghua University,Alibaba, in the country recorded as China, during March 2021. It comes out of an organisation categorised as academia,Industry.

It works in the domain of Multimodal, Image generation, Vision, Language, and is recorded as performing the task of image generation, Visual question answering.

Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.

Answers

M6-100B — common questions

01

M6-100B— what GPU do I need to run it?

None. This 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.

02

M6-100B— is it open source?

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

03

M6-100B— how many parameters does it have?

It has a parameter count of 100B. "We scale the model size up to 10 billion and 100 billion parameters, and build the largest pretrained model in Chinese.". 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.

04

M6-100B— who created it?

It was published by Tsinghua University,Alibaba, based in China, an organisation categorised as academia,Industry.

05

M6-100B— when was it released?

It was published in March 2021. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.

06

M6-100B— what is it used for?

It works in the domain of Multimodal, Image generation, Vision, Language, and is recorded as handling the task of image generation, Visual question answering. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

Source

Original publication

Record last updated 25 May 2026

The other direction

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