POKE´LLMON
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
- Georgia Institute of Technology
- Organisation type
- Academia
- Country
- United States of America
- Published
- 2 April 2024
- Authors
- Sihao Hu, Tiansheng Huang, Ling Liu
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Games, Language
- Task
- Language modeling/generation, Pokemon battles
- Base model
- GPT-4 (Mar 2023)
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
- Hosted access (no API)
- Training code
- Open source
https://play.pokemonshowdown.com/ https://github.com/git-disl/PokeLLMon
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
- Last updated
- 28 November 2025
What the numbers mean
Background
POKE´LLMON was published by Georgia Institute of Technology, in United States of America, in April 2024. The organisation is categorised as academia.
It works in Games, Language, and is recorded as doing language modeling/generation, Pokemon battles.
It builds on GPT-4 (Mar 2023), which is why it shares that model's general shape and size.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
POKE´LLMON — common questions
When was POKE´LLMON released?
POKE´LLMON was published in April 2024. 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 POKE´LLMON used for?
POKE´LLMON works in Games, Language, and is recorded as handling language modeling/generation, Pokemon battles. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run POKE´LLMON?
None. POKE´LLMON 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 POKE´LLMON open source?
No. POKE´LLMON has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does POKE´LLMON have?
No parameter count has been published for POKE´LLMON, which is why no memory or speed figure appears on this page.
Who created POKE´LLMON?
POKE´LLMON was published by Georgia Institute of Technology, based in United States of America, categorised as academia.
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.