Luminous Sparse
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
- Aleph Alpha,Graphcore
- Organisation type
- Industry,Industry
- Country
- Germany, United Kingdom of Great Britain and Northern Ireland
- Published
- 16 November 2022
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation
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
- 2.6B
- 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
- Hosted access (no API)
- 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
- Confident
Sources
Where this record came from and when it was last checked.
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Luminous Sparse was published by Aleph Alpha,Graphcore, in the country recorded as Germany, during November 2022. The publishing organisation is categorised as industry,Industry.
It works in the domain of Language, and is recorded as performing the task of language modeling/generation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Luminous Sparse — common questions
Luminous Sparse— when was it released?
It was published in November 2022. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Luminous Sparse— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling/generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
Luminous Sparse— 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.
Luminous Sparse— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Luminous Sparse— how many parameters does it have?
It has a parameter count of 2.6B. 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.
Luminous Sparse— who created it?
It was published by Aleph Alpha,Graphcore, based in Germany, an organisation categorised as industry,Industry.
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.