Integer Transformer
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
- Northeastern University (China),NiuTrans Research,Chinese Academy of Sciences
- Organisation type
- Academia,Academia
- Country
- China
- Published
- 17 September 2020
- Authors
- Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu, Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling, Translation
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
- 247M
- 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.
- Citations
- 74
- Benchmark data
- Integer Transformer,Integer Transformer
Sources
Where this record came from and when it was last checked.
- Reference
- Towards Fully 8-bit Integer Inference for the Transformer Model, Towards Fully 8-bit Integer Inference for the Transformer Model
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Integer Transformer was published by Northeastern University (China),NiuTrans Research,Chinese Academy of Sciences, in China, in September 2020. It comes out of academia,Academia.
It works in Language, and is recorded as doing language modeling, Translation.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Integer Transformer — common questions
Who created Integer Transformer?
Integer Transformer was published by Northeastern University (China),NiuTrans Research,Chinese Academy of Sciences, based in China, categorised as academia,Academia.
When was Integer Transformer released?
Integer Transformer was published in September 2020. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is Integer Transformer used for?
Integer Transformer works in Language, and is recorded as handling language modeling, Translation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Integer Transformer?
None. Integer Transformer 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 Integer Transformer open source?
No. Integer Transformer has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Integer Transformer have?
Integer Transformer has 247M parameters. 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.
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.