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Gemma

Model ● Covered in 16 stories Compare ⇄ + Follow

Gemma is Google's open-weight language model family available in various sizes, including 27B and 26B parameter variants. Recent coverage shows Gemma models being evaluated for local deployment on consumer GPUs, used in research on differential privacy (VaultGemma), fine-tuned for specialized tasks like healthcare documentation, and tested as components in inference optimization techniques and safety studies.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared MarkTechPost · 2 weeks ago · 33

Experiences with local models for coding TLDR Dev · 3 weeks ago · 6

We got local models to triage the OpenClaw repo for FREE!* Hugging Face Blog · 1 month ago · 24

Reachy Mini goes fully local Hugging Face Blog · 2 months ago · 38

Designing synthetic datasets for the real world: Mechanism design and reasoning from first principles Google Research · 3 months ago · 26

Import AI 450: China's electronic warfare model; traumatized LLMs; and a scaling law for cyberattacks Import AI · 4 months ago · 14

A Visual Guide to Attention Variants in Modern LLMs Ahead of AI · 4 months ago · 24

VaultGemma: The world's most capable differentially private LLM Google DeepMind · 9 months ago · 17

Timeline

Month Quarter Year

July 2026

June 2026

22 Jun We got local models to triage the OpenClaw repo for FREE!*

May 2026

27 May Reachy Mini goes fully local

April 2026

16 Apr Designing synthetic datasets for the real world: Mechanism design and reasoning from first principles

March 2026

October 2025

23 Oct VaultGemma: The world's most capable differentially private LLM

September 2025

August 2025

15 Aug Fine-Tuning Small Open-Source LLMs to Outperform Large Closed-Source Models by 60% on Specialized Tasks

April 2024

February 2024

Google releases Gemma family of open-source language models Open source release

23 Feb Fine-Tuning Gemma Models in Hugging Face
21 Feb Welcome Gemma - Google’s new open LLM

Relationships

Products & technology

Google develops this model · 3 sources
VaultGemma derived from this model · 2 sources
Integrated with Hugging Face · 1 source
Integrated with Google Cloud · 1 source
Deploys OpenClaw · 1 source
Parsed integrated with this model · 1 source
Together AI integrated with this model · 1 source
Simula integrated with this model · 1 source
Google DeepMind develops this model · 1 source
Cloudflare deploys this model · 1 source
CodeGemma derived from this model · 1 source
Reachy Mini integrated with this model · 1 source

The daily briefing

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

Read the full briefing →