SACHS
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
- Massachusetts Institute of Technology (MIT),Stanford University
- Organisation type
- Academia,Academia
- Country
- United States of America
- Published
- 22 April 2005
- Authors
- K. Sachs, O. Perez, D. Pe'er, D. A. Lauffenburger and G. P. Nolan
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Other Biological Modeling
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
- 0.2K
- Training data
- 5,400 tokens
From https://www.bnlearn.com/bnrepository/
I think? " The truncated singlecell data set (420 data points) shows a large (11-arc) decline in accuracy, missing more connections and reporting more unexplained arcs than its larger (5400 data points) counterpart (fig. S4B). " Seems potentially wrong by maybe 20%. Might need to add 1200.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Citations
- 1,682
Sources
Where this record came from and when it was last checked.
- Reference
- Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data.
- Last updated
- 28 November 2025
What the numbers mean
About this model
SACHS was published by Massachusetts Institute of Technology (MIT),Stanford University, in the country recorded as United States of America, during April 2005. The category the publisher falls under is academia,Academia.
It works in the domain of Biology, and is recorded as performing the task of other Biological Modeling.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Training and provenance
The training set ran to roughly 5,400 tokens of text.
Answers
SACHS — common questions
SACHS— how many parameters does it have?
It has a parameter count of 0.2K. From https://www.bnlearn.com/bnrepository/. 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.
SACHS— who created it?
It was published by Massachusetts Institute of Technology (MIT),Stanford University, based in United States of America, an organisation categorised as academia,Academia.
SACHS— when was it released?
It was published in April 2005. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
SACHS— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of other Biological Modeling. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
SACHS— 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.
SACHS— 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.