Truck backer-upper
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
- Stanford University
- Organisation type
- Academia
- Country
- United States of America
- Published
- 18 June 1989
- Authors
- Derrick Nguyen, Bernard Widrow
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Driving
- Task
- Self-driving car
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
- 0.8K
- Training data
- tokens
6*25+25+8*45+45*6=805 (see Figure 6)
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
- Historical significance
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- The truck backer-upper: an example of self-learning in neural networks
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Truck backer-upper was published by Stanford University, in the country recorded as United States of America, during June 1989. The category the publisher falls under is academia.
It works in the domain of Driving, and is recorded as performing the task of self-driving car.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
How it was trained
The reason it appears in this catalogue at all: historical significance.
Answers
Truck backer-upper — common questions
Truck backer-upper— how many parameters does it have?
It has a parameter count of 0.8K. 6*25+25+8*45+45*6=805 (see Figure 6). 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.
Truck backer-upper— who created it?
It was published by Stanford University, based in United States of America, an organisation categorised as academia.
Truck backer-upper— when was it released?
It was published in June 1989. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Truck backer-upper— what is it used for?
It works in the domain of Driving, and is recorded as handling the task of self-driving car. 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.
Truck backer-upper— 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.
Truck backer-upper— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
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.