Anthropic LM 52B
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
- Anthropic
- Organisation type
- Industry
- Country
- United States of America
- Published
- 12 April 2023
- Authors
- Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, Nicholas Joseph, Saurav Kadavath, Jackson Kernion, Tom Conerly, Sheer El-Showk, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Tristan Hume, Scott Johnston, Shauna Kravec, Liane Lovitt, Neel Nanda, Catherine Olsson, Dario Amodei, Tom Brown, Jack Clark, Sam Mc…
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
- Approach
- Reinforcement learning
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
- 52B
- 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
- Unreleased
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
- Confident
- Citations
- 3,982
Sources
Where this record came from and when it was last checked.
- Reference
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- Last updated
- 25 May 2026
What the numbers mean
About this model
Anthropic LM 52B was published by Anthropic, in United States of America, in April 2023. industry is the category the publisher falls under.
It works in Language, and is recorded as doing language modeling/generation, Question answering.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Anthropic LM 52B — common questions
Is Anthropic LM 52B open source?
No. Anthropic LM 52B has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Anthropic LM 52B have?
Anthropic LM 52B has 52B 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 Anthropic LM 52B?
Anthropic LM 52B was published by Anthropic, based in United States of America, categorised as industry.
When was Anthropic LM 52B released?
Anthropic LM 52B was published in April 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 Anthropic LM 52B used for?
Anthropic LM 52B 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.
What GPU do I need to run Anthropic LM 52B?
None. Anthropic LM 52B 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.