Gemma 🧠 Models

Gemma is 💤 Quiet on Above the Fog’s AI hype radar: a hype score of 2 out of 100 on Sep 27, 2026, 2 points higher than 7 days before. Its attention is within the normal range across the monitored sources. Its last hype episode in the 30-day window ran from Sep 23 to Sep 25 (peak 40 on Sep 25).

First seen on Google News (RSS) · Sep 14 — the first monitored source to go above normal for it in the last 14 days.

Why this stage: within the normal range across monitored sources.

Stage

💤 Quiet — within the normal range across the monitored sources

Hype score

1.9 / 100 · −10.2 in 1 day · +1.9 in 7 days

In hype since

not in hype now

Peak, 30 days

40.2 on Sep 25, 2026

Category

🧠 Models

Official site

deepmind.google

Sources above normal

0 of 22 scoring it (0 independent families)

Stories in 7 days

190

Share of voice

0.4% of the radar’s attention in 7 days

Where the attention comes from

“Normal” is the median of the source’s previous 14 normal days for this topic. A source is above normal when its value is at least 30% over that level and stands out from its usual day-to-day variation (z ≥ 2); the share is the part of the hype score that source explains. “× normal” is left blank when the normal level is 0.

Stories behind it

1. Please Google, for the love of God. — Reddit (r/LocalLLaMA) · Sep 23 · score 185 · 101 comments
2. Disaggregated Quantization: Specializing LLM Prefill and Decode — Hugging Face Daily Papers (hf-papers) · Sep 28 · score 41 · 2 comments
3. Gemma 4 on a Tesla T4, Part 2: The Minimum GCE VM and a Script to Drive It — DEV Community (dev.to) (#gemma) · Sep 22 · score 12 · 0 comments
4. Gevva0 – a Jev like decision engine on Gemma 26B via direct logit scoring — Hacker News (github.com) · Sep 28 · score 2 · 0 comments
5. Best Coding Agent LLM — Reddit (r/LocalLLM) · Sep 26 · score 27 · 54 comments
6. What the independent measurements of TypeSafe's Jev found in its first eight days: arXiv preprints, GitHub evaluations and blog benchmarks, each traced to its primary source.#ai #machinelearning #llm… — Mastodon (fediverse) (www.urbanmind.net) · Sep 24 · score 3 · 0 comments
7. From smartphone to sovereign agent:How native on-device intelligence reshapes the personal computing device#ai #programming #gemma #ondeviceai #software #coding #development #engineering #inclusive #… — Mastodon (fediverse) (www.urbanmind.net) · Sep 23 · score 3 · 0 comments
8. If Qwen4 completely abandons open-weight small LLMs (≤14B), who could step up to take Qwen’s place as the next standard-bearer for local small models? — Reddit (r/LocalLLaMA) · Sep 24 · score 0 · 39 comments
9. Gemma 4 26b and qwen 3.8 27b preliminary Healthbench scores — Reddit (r/LocalLLM) · Sep 23 · score 36 · 21 comments
10. Jev After Eight Days of Independent Tests: Level With Mid-Price LLMs, Behind the Frontier — DEV Community (dev.to) (#ai) · Sep 24 · score 9 · 0 comments
11. Running a Jev-Style Decision Model on One TPU v6e: What Fits, What It Costs, and What Changes From a GPU — DEV Community (dev.to) (#gemma) · Sep 24 · score 9 · 0 comments
12. Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 Points Behind Overall, Level on Yes/No, 4.5 Behind on Multiple Choice — DEV Community (dev.to) (#gemma) · Sep 24 · score 7 · 0 comments

Themes

What its stories of the last 7 days are about: the 114 of them the Jev model kept as about the scene, by theme (a story can carry several themes):

• Models — 92% of its stories
• Usage & adoption — 14% of its stories
• Protocols & infra — 8.8% of its stories
• Agents — 7.9% of its stories
• Policy & macro — 1.8% of its stories
• Other AI — 1.8% of its stories

Related topics

Mentioned with

Local inference (94 stories), Qwen (89 stories), Open-weight models (25 stories), Llama (16 stories), Muse Spark (6 stories), Thinking Machines Lab (3 stories)

Hype score, last 30 days

Open Gemma in the interactive map →