Gemma 2 2B Release
Collection
The 2.6B parameter version of Gemma 2.
•
6 items
•
Updated
•
77
Access Gemma on Hugging Face
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging Face and click below. Requests are processed immediately.
Log in or Sign Up to review the conditions and access this model content.
Gemma Model Card
Model Page: Gemma
This model card corresponds to the 2b pretrained version of the Gemma 2 model in GGUF Format. The weights here are float32.
In llama.cpp, and other related tools such as Ollama and LM Studio, please make sure that you have these flags set correctly, especially
repeat-penalty. Georgi Gerganov (llama.cpp's author) shared his experience in https://huggingface.co/google/gemma-7b-it/discussions/38#65d7b14adb51f7c160769fa1.
You can also visit the model card of the 2B instruct v2 model GGUF.
Resources and Technical Documentation:
Terms of Use: Terms
Authors: Google
Model Information
Summary description and brief definition of inputs and outputs.
Description
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.
- Downloads last month
- 55