AWD-LSTM
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
- DeepMind,University of Oxford
- Organisation type
- Industry,Academia
- Country
- United Kingdom of Great Britain and Northern Ireland
- Published
- 18 July 2017
- Authors
- Gábor Melis, Chris Dyer, Phil Blunsom
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling
- Numerical format
- FP32
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
- 24M
- Training data
- 2,000,000 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.
- Why it is tracked
- SOTA improvement
- Record confidence
- Confident
- Citations
- 555
- Benchmark data
- AWD-LSTM
"We establish a new state of the art on the Penn Treebank and Wikitext-2 corpora"
Sources
Where this record came from and when it was last checked.
- Reference
- On the State of the Art of Evaluation in Neural Language Models
- Last updated
- 28 November 2025
What the numbers mean
Background
AWD-LSTM was published by DeepMind,University of Oxford, in the country recorded as United Kingdom of Great Britain and Northern Ireland, during July 2017. The publishing organisation is categorised as industry,Academia.
It works in the domain of Language, and is recorded as performing the task of language modeling.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
How it was trained
The training set ran to roughly 2,000,000 tokens of text.
Its inclusion criterion: sOTA improvement.
Answers
AWD-LSTM — common questions
AWD-LSTM— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
AWD-LSTM— how many parameters does it have?
It has a parameter count of 24M. 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.
AWD-LSTM— who created it?
It was published by DeepMind,University of Oxford, based in United Kingdom of Great Britain and Northern Ireland, an organisation categorised as industry,Academia.
AWD-LSTM— when was it released?
It was published in July 2017. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
AWD-LSTM— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
AWD-LSTM— 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.
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.