SparseOPT-66B
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-66B
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
- 66B
- 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-66B
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-66B 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 builds on OPT-66B, which is why it shares that model's general shape and size.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
SparseOPT-66B — common questions
What GPU do I need to run SparseOPT-66B?
None. SparseOPT-66B 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-66B open source?
No. SparseOPT-66B has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SparseOPT-66B have?
SparseOPT-66B has 66B 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-66B?
SparseOPT-66B was published by Institute of Science and Technology Austria (ISTA), based in Austria, categorised as academia.
When was SparseOPT-66B released?
SparseOPT-66B 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-66B used for?
SparseOPT-66B works in Language, and is recorded as handling language modeling/generation, Question answering. 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.