Gemma vs. Orca

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

Orca is a descendant of LLaMA developed by Microsoft with finetuning on explanation traces obtained from GPT-4.

Orca-13B is a LLM developed by Microsoft. It is based on LLaMA with finetuning on complex explanation traces obtained from GPT-4. By using rich signals, Orca surpasses the performance of models such as Vicuna-13B on complex tasks. However, given its model backbone and the data used for its finetuning, Orca is under noncommercial use.

Initial release: 2023-06-05

Reference

https://aka.ms/orca-lm

Further Reading

• https://arxiv.org/pdf/2306.02707.pdf