Categories: AI/ML Research

3 Ways of Using Gemma 2 Locally

After the highly successful launch of Gemma 1, the Google team introduced an even more advanced model series called Gemma 2. This new family of Large Language Models (LLMs) includes models with 9 billion (9B) and 27 billion (27B) parameters. Gemma 2 offers higher performance and greater inference efficiency than its predecessor, with significant safety […]

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Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

NVIDIA, in collaboration with Google, today launched optimizations across all NVIDIA AI platforms for Gemma — Google’s state-of-the-art new lightweight 2 billion– and 7 billion-parameter open language models that can be run anywhere, reducing costs and speeding innovative work for domain-specific use cases. Teams from the companies worked closely together…

February 24, 2024

In "FAANG"

Gemma: Introducing new state-of-the-art open models

Gemma is built for responsible AI development from the same research and technology used to create Gemini models.

February 22, 2024

In "FAANG"

Using Scikit-LLM with Open-Source LLMs

This article will teach you how to perform a language task like text classification by integrating locally hosted large language models (LLMs) of manageable size, like Mistral, Gemma, and Llama 3: all for free thanks to Ollama — a free repository for local LLMs — and the Scikit-LLM Python library.

June 5, 2026

In "AI/ML Research"

AI Generated Robotic Content