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Gemma 2B

Foundation modelGemma

Gemma 2B

Release date: 2024-02-21Updated: 2024-02-21Views: 640
Parameters
2B
Context length
2K
Multilingual
Supported
Reasoning ability
No data

Gemma 2B is an AI model published by Google Research, released on 2024-02-21, for Foundation model, with 2B parameters, and 2K context length, requiring about 4GB storage, with a 15.85 score on MMLU Pro.

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

Gemma 2B

Model basics

Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-02-21
Model file size
4GB
MoE architecture
No
Total params / Active params
2B / Not applicable
Knowledge cutoff
No data
Gemma 2B

Open source & experience

Code license
Weights license
Gemma Terms of Use- Commercial use permitted
GitHub repo
N/A
Gemma 2B

Official resources

Paper
DataLearnerAI blog
N/A
Gemma 2B

API details

API speed
No data
No public API pricing yet.
Gemma 2B

Benchmark Results

Gemma 2B currently shows benchmark results led by MMLU Pro (173 / 176, score 15.85). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
MMLU Pro
unknown
15.85
173 / 176
Gemma 2B

Publisher

Gemma 2B

Model Overview

Gemma 2B is an AI model published by Google Research, released on 2024-02-21, for Foundation model, with 2B parameters, and 2K context length, requiring about 4GB storage, with a 15.85 score on MMLU Pro.

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