SparseOPT-30B
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
- Institute of Science and Technology Austria (ISTA)
- Organisation type
- Academia
- Country
- Austria
- Published
- 2 January 2023
- Authors
- Elias Frantar, Dan Alistarh
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Question answering
- Base model
- OPT-30B
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
- 30B
- 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
- Open source
code is Apache 2.0 https://github.com/IST-DASLab/sparsegpt
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
- Citations
- 1,267
- Benchmark data
- SparseOPT-30B
Sources
Where this record came from and when it was last checked.
- Reference
- SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
- Last updated
- 25 May 2026
What the numbers mean
Where it came from
SparseOPT-30B was published by Institute of Science and Technology Austria (ISTA), in Austria, in January 2023. academia is the category the publisher falls under.
It works in Language, and is recorded as doing language modeling/generation, Question answering.
It is derived from OPT-30B rather than trained from scratch, which is the usual way a specialised model is produced.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
SparseOPT-30B — common questions
What GPU do I need to run SparseOPT-30B?
None. SparseOPT-30B 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 SparseOPT-30B open source?
No. SparseOPT-30B has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SparseOPT-30B have?
SparseOPT-30B has 30B 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.
Who created SparseOPT-30B?
SparseOPT-30B was published by Institute of Science and Technology Austria (ISTA), based in Austria, categorised as academia.
When was SparseOPT-30B released?
SparseOPT-30B was published in January 2023. 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 SparseOPT-30B used for?
SparseOPT-30B works in Language, and is recorded as handling language modeling/generation, Question answering. 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.
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.