Gemma vs. RedPajama-INCITE

Overview

Gemma is Google's family of efficient open models for local, edge, and self-hosted deployment. Gemma 4 is the current generation, spanning mobile-scale through workstation-scale models.

Google introduced Gemma in February 2024 as a family of lightweight open models built from the same research used for Gemini. Gemma 2 improved efficiency and model quality, while Gemma 3 added multimodal input and longer context. Gemma 4, released in April 2026 under Apache 2.0, adds advanced reasoning, agentic tool use, code generation, image and video understanding, and models ranging from edge-focused E2B and E4B variants to 12B, 26B mixture-of-experts, and 31B dense checkpoints.

Initial release: 2024-02-21

Current generation: Gemma 4

Reference

https://ai.google.dev/gemma

Further Reading

• https://ai.google.dev/gemma/docs
• https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/

Overview

RedPajama-INCITE is the first family of models trained on the RedPajama base dataset. The goal of the RedPajama-INCITE models is to replicate the LLaMA recipe but make the model fully open source under the Apache license. As of the initial release, the 3B parameter model is best-in-class, with the 7B parameter model in progress. Update as of June 6, 2023: the 7B parameter model was made available, outperforming other models of the same size.

Initial release: 2023-05-05

Reference

https://www.together.xyz/blog/redpajama-models-v1

Further Reading

• https://www.together.xyz/blog/redpajama-7b