gemma.cpp VS GGML

Let’s have a side-by-side comparison of gemma.cpp vs GGML to find out which one is better. This software comparison between gemma.cpp and GGML is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether gemma.cpp or GGML fits your business.

gemma.cpp

gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models.

GGML

GGML
ggml is a tensor library for machine learning to enable large models and high performance on commodity hardware.

gemma.cpp

Launched
Pricing Model Free
Starting Price
Tech used
Tag

GGML

Launched 2023-04-13
Pricing Model Free
Starting Price
Tech used Fastly,GitHub Pages,Gzip,Varnish
Tag

gemma.cpp Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

GGML Rank/Visit

Global Rank 3783975
Country United States
Month Visit 15669

Top 5 Countries

18.05%
6.47%
5.39%
4.98%
4.81%
United States Taiwan, Province of China Indonesia United Kingdom Italy

Traffic Sources

43.2%
31.72%
21.08%
4%
Referrals Search Direct Social

What are some alternatives?

When comparing gemma.cpp and GGML, you can also consider the following products

Google's open Gemma models - Gemma is a family of lightweight, open models built from the research and technology that Google used to create the Gemini models.

CodeGemma - CodeGemma is a lightweight open-source code model series by Google, designed for code generation and comprehension. With various pre-trained variants, it enhances programming efficiency and code quality.

Google Gemini - Discover Gemini, Google's advanced AI model designed to revolutionize AI interactions. With multimodal capabilities, sophisticated reasoning, and advanced coding abilities, Gemini empowers researchers, educators, and developers to uncover knowledge, simplify complex subjects, and generate high-quality code. Explore the potential and possibilities of Gemini as it transforms industries worldwide.

Mini-Gemini - Mini-Gemini supports a series of dense and MoE Large Language Models (LLMs) from 2B to 34B with image understanding, reasoning, and generation simultaneously. We build this repo based on LLaVA.

More Alternatives