Gemma2-27B

Name: Gemma2-27B
Author: Google Deep Mind

Foundation modelGemmaGemma 2

Gemma2-27B

Release date: 2024-05-14Updated: 2024-05-15Views: 619

Live demoGitHubHugging FaceCompare

Parameters

27B

Context length

Multilingual

No data

Reasoning ability

No data

Gemma2-27B is an AI model published by Google Deep Mind, released on 2024-05-14, for Foundation model, with 27B parameters, and 4K context length, requiring about 54GB storage, with a 86.40 score on HellaSwag.

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

Gemma2-27B

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

2024-05-14

Model file size

54GB

MoE architecture

Total params / Active params

27B / Not applicable

Knowledge cutoff

No data

Gemma2-27B

Open source & experience

Code license

Apache 2.0

Weights license

Gemma Terms of Use- Commercial use permitted

GitHub repo

N/A

Hugging Face

N/A

Live demo

N/A

Gemma2-27B

Official resources

Paper

N/A

DataLearnerAI blog

N/A

Gemma2-27B

API details

API speed

No data

No public API pricing yet.

Gemma2-27B

Benchmark Results

Gemma2-27B currently shows benchmark results led by GSM8K (28 / 70, score 74), MBPP (47 / 96, score 62.60), MMLU (66 / 124, score 75.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.