Alleviated TOI 10 (PTB)
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
- Ecole Polytechnique F´ed´erale de Lausanne (EPFL),Swisscom,University of Freiburg
- Organisation type
- Academia,Industry,Academia
- Country
- Switzerland, Germany
- Published
- 18 September 2019
- Authors
- Noémien Kocher, Christian Scuito, Lorenzo Tarantino, Alexandros Lazaridis, Andreas Fischer, Claudiu Musat
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
- Epochs
- 1,000
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
- Open source
BSD 3-Clause License for code: https://github.com/nkcr/overlap-ml
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
- Benchmark data
- Alleviated TOI 10 (PTB)
Sources
Where this record came from and when it was last checked.
- Reference
- Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes
- Last updated
- 11 February 2026
What the numbers mean
Where it came from
Alleviated TOI 10 (PTB) was published by Ecole Polytechnique F´ed´erale de Lausanne (EPFL),Swisscom,University of Freiburg, in Switzerland, in September 2019. It comes out of academia,Industry,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
Alleviated TOI 10 (PTB) — common questions
What is Alleviated TOI 10 (PTB) used for?
Alleviated TOI 10 (PTB) 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.
What GPU do I need to run Alleviated TOI 10 (PTB)?
None. Alleviated TOI 10 (PTB) 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 Alleviated TOI 10 (PTB) open source?
No. Alleviated TOI 10 (PTB) has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Alleviated TOI 10 (PTB) have?
No parameter count has been published for Alleviated TOI 10 (PTB), which is why no memory or speed figure appears on this page.
Who created Alleviated TOI 10 (PTB)?
Alleviated TOI 10 (PTB) was published by Ecole Polytechnique F´ed´erale de Lausanne (EPFL),Swisscom,University of Freiburg, based in Switzerland, categorised as academia,Industry,Academia.
When was Alleviated TOI 10 (PTB) released?
Alleviated TOI 10 (PTB) was published in September 2019. 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.