gemma

Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1

2b 7b

4.2M Pulls Updated 7 months ago

Updated 7 months ago

7 months ago

030ee63283b5 · 1.6GB

parameters2.51B

quantizationQ4_0

{"penalize_newline":false,"repeat_penalty":1,"stop":["\u003cstart_of_turn\u003e","\u003cend_of_turn\

<start_of_turn>user {{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn> <start_of_turn

Gemma Terms of Use Last modified: February 21, 2024 By using, reproducing, modifying, distributin

Readme

Note: this model requires Ollama 0.1.26 or later. Download it here.

Gemma is a new open model developed by Google and its DeepMind team. It’s inspired by Gemini models at Google.

Gemma is available in both 2b and 7b parameter sizes:

ollama run gemma:2b
ollama run gemma:7b (default)

The models undergo training on a diverse dataset of web documents to expose them to a wide range of linguistic styles, topics, and vocabularies. This includes code to learn syntax and patterns of programming languages, as well as mathematical text to grasp logical reasoning.

To ensure the safety of the model, the team employed various data cleaning and filtering techniques, including rigorous filtering for CSAM (child sexual abuse material), sensitive data filtering, and filtering based on content quality in compliance with Google’s policies.

Reference