PaLM-2 Gecko

Closed weights Google May 2023

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
Google
Organisation type
Industry
Country
United States of America
Published
10 May 2023
Authors
Zoubin Ghahramani

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Language
Task
Chat, Language modeling/generation, Question answering

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
API access
Training code
Unreleased

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
PaLM 2 models
Last updated
28 November 2025

What the numbers mean

About this model

PaLM-2 Gecko was published by Google, in United States of America, in May 2023. It comes out of industry.

It works in Language, and is recorded as doing chat, Language modeling/generation, Question answering.

Its weights were never published, so it can only be reached through its provider. No graphics card changes that.

Answers

PaLM-2 Gecko — common questions

01

Who created PaLM-2 Gecko?

PaLM-2 Gecko was published by Google, based in United States of America, categorised as industry.

02

When was PaLM-2 Gecko released?

PaLM-2 Gecko was published in May 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.

03

What is PaLM-2 Gecko used for?

PaLM-2 Gecko works in Language, and is recorded as handling chat, Language modeling/generation, Question answering. 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.

04

What GPU do I need to run PaLM-2 Gecko?

None. PaLM-2 Gecko 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.

05

Is PaLM-2 Gecko open source?

No. PaLM-2 Gecko has not had its weights published, so it exists only as a service controlled by its owner.

06

How many parameters does PaLM-2 Gecko have?

No parameter count has been published for PaLM-2 Gecko, which is why no memory or speed figure appears on this page.

Source

Original publication

Record last updated 28 November 2025

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.