InstructGPT 1.3B
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
- OpenAI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 27 January 2022
- Authors
- Long Ouyang, Pamela Mishkin, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, John Schulman, Amanda Askell, Fraser Kelton, Peter Welinder, Luke Miller, Maddie Simens, Paul Christiano, Ryan Lowe, Chong Zhang, Jacob Hilton, Sandhini Agarwal, Katarina Slama, Alex Ray, Jan Leike
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation
- Approach
- Self-supervised learning
- Base model
- GPT-3 XL
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
- 1.3B
- Training data
- tokens
"We train three model sizes (1.3B, 6B, and 175B parameters)"
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
- API access
- Training code
- Unreleased
used to be accessible via API, now deprecated
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Foundation model
- Yes
- Why it is tracked
- Historical significance,Highly cited
- Record confidence
- Confident
- Citations
- 20,786
Sources
Where this record came from and when it was last checked.
- Reference
- Training language models to follow instructions with human feedback
- Last updated
- 25 May 2026
What the numbers mean
Where it came from
InstructGPT 1.3B was published by OpenAI, in United States of America, in January 2022. The organisation is categorised as industry.
It works in Language, and is recorded as doing language modeling/generation.
Its starting point was GPT-3 XL — most models at this scale are adapted from an existing base rather than built from nothing.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
What went into building it
Its inclusion criterion is historical significance,Highly cited.
Answers
InstructGPT 1.3B — common questions
What is InstructGPT 1.3B used for?
InstructGPT 1.3B works in Language, and is recorded as handling language modeling/generation. 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.
What GPU do I need to run InstructGPT 1.3B?
None. InstructGPT 1.3B 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 InstructGPT 1.3B open source?
No. InstructGPT 1.3B has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does InstructGPT 1.3B have?
InstructGPT 1.3B has 1.3B parameters. "We train three model sizes (1.3B, 6B, and 175B 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 InstructGPT 1.3B?
InstructGPT 1.3B was published by OpenAI, based in United States of America, categorised as industry.
When was InstructGPT 1.3B released?
InstructGPT 1.3B was published in January 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.
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.