HyperCLOVA X
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
- NAVER
- Organisation type
- Industry
- Country
- Korea (Republic of)
- Published
- 24 August 2023
- Authors
- Kang Min Yoo, Jaegeun Han, Sookyo In, Heewon Jeon, Jisu Jeong, Jaewook Kang, Hyunwook Kim, Kyung-Min Kim, Munhyong Kim, Sungju Kim, Donghyun Kwak, Hanock Kwak, Se Jung Kwon, Bado Lee, Dongsoo Lee, Gichang Lee, Jooho Lee, Baeseong Park, Seongjin Shin, Joonsang Yu, Seolki Baek, Sumin Byeon, Eungsup Cho, Dooseok Choe, Jeesung Han, Youngkyun Jin, Hyein Jun, Jaeseung Jung, Chanwoong Kim, Jinhong Kim, J…
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Chat, Search, Translation, Code generation, Question answering, Quantitative reasoning
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.
- 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
- API access
- Training code
- Unreleased
API access for HyperCLOVA X is available at CLOVA Studio, a Hyperscale AI development tool optimized for businesses and provided via NAVER Cloud Platform. The chat service is available at https://clovax.naver.com/.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Record confidence
- Speculative
Sources
Where this record came from and when it was last checked.
- Reference
- Korea’s internet giant Naver unveils generative AI services
- Last updated
- 28 November 2025
What the numbers mean
Background
HyperCLOVA X was published by NAVER, in the country recorded as Korea (Republic of), during August 2023. It comes out of an organisation categorised as industry.
It works in the domain of Language, and is recorded as performing the task of language modeling/generation, Chat, Search, Translation, Code generation, Question answering, Quantitative reasoning.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
HyperCLOVA X — common questions
HyperCLOVA X— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
HyperCLOVA X— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
HyperCLOVA X— who created it?
It was published by NAVER, based in Korea (Republic of), an organisation categorised as industry.
HyperCLOVA X— when was it released?
It was published in August 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.
HyperCLOVA X— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling/generation, Chat, Search, Translation, Code generation, Question answering, Quantitative reasoning. 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.
HyperCLOVA X— 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.