# Welcome Gemma 2 - Google's new open LLM

DevFeed: [Welcome Gemma 2 - Google's new open LLM](<https://devfeed.tech/articles/welcome-gemma-2-google-s-new-open-llm-7211.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/gemma2>)

Author: Philipp Schmid; Omar Sanseviero; Pedro Cuenca; Lewis Tunstall; Tom Aarsen; Vaibhav Srivastav

Published: 2024-06-27T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [gemma](<https://devfeed.tech/topics/gemma.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Google](<https://devfeed.tech/topics/google.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [rlhf](<https://devfeed.tech/topics/rlhf.md>), [Transformer](<https://devfeed.tech/topics/transformer.md>)

Tags: [community](<https://devfeed.tech/tags/community.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gcp](<https://devfeed.tech/tags/gcp.md>), [gemma](<https://devfeed.tech/tags/gemma.md>), [google](<https://devfeed.tech/tags/google.md>), [llm](<https://devfeed.tech/tags/llm.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [research](<https://devfeed.tech/tags/research.md>), [rlhf](<https://devfeed.tech/tags/rlhf.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [tpu](<https://devfeed.tech/tags/tpu.md>), [transformers](<https://devfeed.tech/tags/transformers.md>), [warp](<https://devfeed.tech/tags/warp.md>)

## AI overview

The article introduces Gemma 2, Google's open large language model family available in 9-billion- and 27-billion-parameter sizes, with base and instruction-tuned variants. It describes the models' training data, permissive licensing, architectural improvements, TPU-based training, and instruction-tuning methods including supervised fine-tuning, distillation, RLHF, and model merging.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.