RecurrentGemma-2B-IT

Name: RecurrentGemma-2B-IT
Author: Google Research

基础大模型

Release date: 2024-04-09更新于: 2024-04-09 23:00:08639

Live demo

RecurrentGemma-2B-IT is an AI model published by Google Research, released on 2024-04-09, for 基础大模型, with 27.0B parameters, and 8K tokens context length, requiring about 5.37GB storage, under the Gemma Terms of Use license.

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

RecurrentGemma-2B-IT

Model basics

Reasoning traces

Not supported

Thinking modes

Thinking modes not supported

Context length

8K tokens

Max output length

No data

Model type

基础大模型

Release date

2024-04-09

Model file size

5.37GB

MoE architecture

Total params / Active params

2.7B / N/A

Knowledge cutoff

No data

RecurrentGemma-2B-IT

Open source & experience

Code license

Apache 2.0

Weights license

Gemma Terms of Use- 免费商用授权

GitHub repo

https://github.com/google/gemma_pytorch

Hugging Face

https://huggingface.co/google/recurrentgemma-2b-it

Live demo

No live demo

RecurrentGemma-2B-IT

Official resources

Paper

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

DataLearnerAI blog

No blog post yet

RecurrentGemma-2B-IT

Model basics

Open source & experience

Official resources

API details

Benchmark Results

Publisher

Model Overview

DataLearner 官方微信