Multitask Unified Model (MUM)
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
- Organisation type
- Industry
- Country
- United States of America
- Published
- 18 May 2021
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Multimodal, Vision
- Task
- Language modeling/generation, Image captioning, Question answering, Visual question answering, Translation, Character recognition (OCR), Search
- Base model
- T5-11B
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.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- MUM: A new AI milestone for understanding information
- Last updated
- 11 February 2026
What the numbers mean
Background
Multitask Unified Model (MUM) was published by Google, in United States of America, in May 2021. industry is the category the publisher falls under.
It works in Language, Multimodal, Vision, and is recorded as doing language modeling/generation, Image captioning, Question answering, Visual question answering, Translation, Character recognition (OCR), Search.
It is derived from T5-11B rather than trained from scratch, which is the usual way a specialised model is produced.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Multitask Unified Model (MUM) — common questions
What is Multitask Unified Model (MUM) used for?
Multitask Unified Model (MUM) works in Language, Multimodal, Vision, and is recorded as handling language modeling/generation, Image captioning, Question answering, Visual question answering, Translation, Character recognition (OCR), Search. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Multitask Unified Model (MUM)?
None. Multitask Unified Model (MUM) 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.
Is Multitask Unified Model (MUM) open source?
No. Multitask Unified Model (MUM) has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Multitask Unified Model (MUM) have?
No parameter count has been published for Multitask Unified Model (MUM), which is why no memory or speed figure appears on this page.
Who created Multitask Unified Model (MUM)?
Multitask Unified Model (MUM) was published by Google, based in United States of America, categorised as industry.
When was Multitask Unified Model (MUM) released?
Multitask Unified Model (MUM) was published in May 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.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.