Gemini-Nano

Name: Gemini-Nano
Author: DeepMind

多模态大模型

Gemini-Nano

Release date: 2023-12-07更新于: 2023-12-07 08:48:13.616903

Live demo

Gemini-Nano is an AI model published by DeepMind, released on 2023-12-07, for 多模态大模型, with 32.5B parameters, and 32K tokens context length, under the 不开源 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemini-Nano

Model basics

Reasoning traces

Not supported

Thinking modes

Thinking modes not supported

Context length

32K tokens

Max output length

No data

Model type

多模态大模型

Release date

2023-12-07

Model file size

No data

MoE architecture

Total params / Active params

32.5B / N/A

Knowledge cutoff

No data

Gemini-Nano

Open source & experience

Code license

不开源

Weights license

不开源- 不开源

GitHub repo

GitHub link unavailable

Hugging Face

Hugging Face link unavailable

Live demo

No live demo

Gemini-Nano

Model Overview

谷歌系列大模型中最小参数规模的一个版本，其实包含2个版本，一个是18亿参数的Nano-1，一个是32.5亿参数的Nano2

Gemini-Nano

Model basics

Open source & experience

Official resources

API details

Benchmark Results

Publisher

Model Overview

DataLearner 官方微信