Gemma 2 vs. Orca

Overview

Gemma 2 succeeds the Gemma family of lightweight open models from Google built using the same processes used for the the larger Gemini models.

Gemma 2 is the successor to the Gemma family of open models, including larer models (9B and 27B parameters) with outsized performance across benchmarks. Using a combination of techniques such as training on twice as much data, knowledge distillation, and architectural improvements such as sliding window attention, logit soft-capping, and model merging, Gemma 2 outperforms models of similar size (such as Llama 3), with the 27B parameter model being competitive with models more than twice its size (such as Llama 70B).

Initial release: 2024-06-27

Reference

https://blog.google/technology/developers/google-gemma-2/

Further Reading

• https://ai.google.dev/gemma/docs
• https://huggingface.co/blog/gemma2

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