Transformer LM + MinSen
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
- Chinese University of Hong Kong (CUHK)
- Organisation type
- Academia
- Country
- Hong Kong
- Published
- 29 November 2021
- Authors
- Junhao Xu, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling
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
- Citations
- 21
- Benchmark data
- Transformer LM + MinSen
Sources
Where this record came from and when it was last checked.
- Reference
- Mixed Precision of Quantization of Transformer Language Models for Speech Recognition
- Last updated
- 25 May 2026
What the numbers mean
Background
Transformer LM + MinSen was published by Chinese University of Hong Kong (CUHK), in Hong Kong, in November 2021. It comes out of academia.
It works in Language, and is recorded as doing language modeling.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Transformer LM + MinSen — common questions
What GPU do I need to run Transformer LM + MinSen?
None. Transformer LM + MinSen 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 Transformer LM + MinSen open source?
No. Transformer LM + MinSen has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Transformer LM + MinSen have?
No parameter count has been published for Transformer LM + MinSen, which is why no memory or speed figure appears on this page.
Who created Transformer LM + MinSen?
Transformer LM + MinSen was published by Chinese University of Hong Kong (CUHK), based in Hong Kong, categorised as academia.
When was Transformer LM + MinSen released?
Transformer LM + MinSen was published in November 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.
What is Transformer LM + MinSen used for?
Transformer LM + MinSen works in Language, and is recorded as handling language modeling. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
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.