Crazy Stone
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
- INRIA
- Organisation type
- Academia
- Country
- France
- Published
- 29 May 2006
- Authors
- Rémi Coulom
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Games
- Task
- Go
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
- 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.
- Why it is tracked
- SOTA improvement
- Record confidence
- Unknown
First ML model to use MCTS, plausibly it was SOTA for computer Go "The resulting algorithm was implemented in a 9 × 9 Go-playing program, Crazy Stone, that won the 10th KGS computer-Go tournament."
Sources
Where this record came from and when it was last checked.
- Reference
- Efficient selectivity and backup operators in Monte-Carlo tree search
- Last updated
- 28 November 2025
What the numbers mean
About this model
Crazy Stone was published by INRIA, in the country recorded as France, during May 2006. It comes out of an organisation categorised as academia.
It works in the domain of Games, and is recorded as performing the task of go.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
It is tracked in the underlying dataset for one reason in particular: sOTA improvement.
Answers
Crazy Stone — common questions
Crazy Stone— who created it?
It was published by INRIA, based in France, an organisation categorised as academia.
Crazy Stone— when was it released?
It was published in May 2006. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Crazy Stone— what is it used for?
It works in the domain of Games, and is recorded as handling the task of go. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Crazy Stone— 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.
Crazy Stone— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Crazy Stone— 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.
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.