Gemma 2 - 9B

Name: Gemma 2 - 9B
Author: Google Research

Foundation model

Gemma 2 - 9B

Release date: 2024-06-27Updated: 2024-07-20Views: 843

Live demoGitHub Hugging Face Compare

Parameters

Context length

Multilingual

No data

Reasoning ability

No data

Gemma 2 - 9B is an AI model published by Google Research, released on 2024-06-27, for Foundation model, with 9B parameters, and 4K context length, requiring about 18GB storage, with a 839.70 score on Creative Writing.

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

Gemma 2 - 9B

Model basics

Reasoning traces

No data

Thinking modes

Thinking modes not supported

Context length

4K tokens

Max output length

No data

Model type

Foundation model

Modality (in / out)

No data

Release date

2024-06-27

Model file size

18GB

MoE architecture

Total params / Active params

9B / Not applicable

Knowledge cutoff

No data

Gemma 2 - 9B

Open source & experience

Code license

Apache 2.0

Weights license

Gemma Terms of Use- Commercial use permitted

GitHub repo

github.com/google/gemma.cpp

Hugging Face

huggingface.co/google/gemma-2-9b

Live demo

N/A

Gemma 2 - 9B

Official resources

Paper

DataLearnerAI blog

N/A

Gemma 2 - 9B

API details

API speed

No data

No public API pricing yet.

Gemma 2 - 9B

Benchmark Results

Gemma 2 - 9B currently shows benchmark results led by ARC (1 / 4, score 68.20), GSM8K (31 / 70, score 70.70), MBPP (49 / 96, score 62.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.