Type: AI model family
Gemma is Google’s family of open-weight models derived from the same research as Gemini, spanning compact on-device sizes to larger server variants. It anchors much of Google’s open-model strategy and has spawned specialized derivatives. GROUNDING tracks the Gemma family’s releases, variants, and ecosystem adoption.
Recent Updates
- 2026-08-24: DirEAG proposes calibrated aggregation of verbalized confidence for math reasoning (breakingnewsofficial) · arxiv.org — LLM Evals arXiv.org · Qwen · Mistral
- 2026-09-01: Running local AI agents on M4 Mac: Practical architecture for offline-first workflows (breakingnewsofficial) · lws.io — Open Source LLMs Agents Code Agents Apple · Anthropic · OpenAI · Qwen · Claude · GPT-5
- 2026-09-05: OKF Agent Memory: Git-native persistent memory for AI coding agents (breakingnewsofficial) · github.com — Agent Memory Code Agents Context Engineering Google · Qwen · LLaMA
- 2026-09-10: Multi-Functional Embedding Models for Funder Name Disambiguation in Scientific Publication Records (breakingnewsofficial) · arxiv.org — Embeddings OpenAI · Anthropic · Google · Alibaba Crossref · Claude Sonnet 4.6 · GPT-5.2 · Gemini 2.5 Flash Sentence Transformers · Qwen3
FAQ
What is Gemma?
Gemma is Google’s family of open-weight models derived from the same research as Gemini, spanning compact on-device sizes to larger server variants. It anchors much of Google’s open-model strategy and has spawned specialized derivatives. GROUNDING tracks the Gemma family’s releases, variants, and ecosystem adoption.
What does this page track?
Dated radar mentions, source links, related concepts, and builder-relevant context for Gemma, collected automatically by GROUNDING.
When was Gemma last mentioned?
Gemma was most recently mentioned in a radar update dated 2026-09-10.
Category: Text / Language Models