gemma 2b

Name: gemma 2b
Author: Google

by GoogleGemma

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 20248K context≈ 6,144 words2.5B params

Gemma 2B is the compact member of Google's Gemma family — small enough to run on modest hardware yet surprisingly capable for its size. It handles straightforward text tasks like summarization, classification, and simple Q&A with reasonable fluency, though it noticeably struggles with complex reasoning or multi-step instructions that larger models handle easily. Its open-weight nature makes it a practical choice for experimentation and on-device deployment.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Moderate

Multilingual

gemma 2b

by GoogleGemma

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 20248K context≈ 6,144 words2.5B params

Gemma 2B is the compact member of Google's Gemma family — small enough to run on modest hardware yet surprisingly capable for its size. It handles straightforward text tasks like summarization, classification, and simple Q&A with reasonable fluency, though it noticeably struggles with complex reasoning or multi-step instructions that larger models handle easily. Its open-weight nature makes it a practical choice for experimentation and on-device deployment.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Creative Writing

Moderate

Multilingual

Glossary

ClassificationA machine learning task where the model assigns input data to predefined categories or labels.Complex ReasoningThe ability to work through multi-step problems, analyze nuanced information, and draw logical conclusions.On-DeviceA model designed to run directly on a user's device (phone, laptop, etc.) rather than requiring a remote server.On-Device DeploymentRunning an AI model directly on a user's device (phone, laptop, edge device) rather than sending data to a remote server.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.

gemma 2b

Capabilities

gemma 2b

Capabilities

Benchmark Scores

Use Case Fit

Glossary