--- title: "Gemma — AI hype score and trend · Above the Fog" canonical_url: https://abovethefog.app/topics/gemma as_of: 2026-09-27 updated: 2026-09-28T22:02:40Z --- # Gemma (🧠 Models) [Home](https://abovethefog.app/index.md) › [Topics](https://abovethefog.app/topics.md) › Gemma 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](https://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. | Source | Metric | Latest | Normal | × normal | Above normal | Share of score | |---|---|---:|---:|---:|---|---:| | Google Trends (search interest) | search interest | 17.5 (Sep 25) | 11.7 | 1.5× | no | 100% | | Bluesky | trending | 0 (Sep 26) | 0 | — | no | 0% | | Developer forums (Cursor, OpenAI, Hugging Face) | items | 0 | 0 | — | no | 0% | | GitHub Trending | trending | 0 (Sep 26) | 0 | — | no | 0% | | Google Trends (Trending now) | trending | 0 (Sep 26) | 0 | — | no | 0% | | Hacker News | mentions | 0 | 0 | — | no | 0% | | Hugging Face Daily Papers | items | 0 | 0 | — | no | 0% | | HN: front-page time (ClickHouse) | frontpage hours | 0 | 0 | — | no | 0% | ## Stories behind it 1. [Please Google, for the love of God.](https://www.reddit.com/r/LocalLLaMA/comments/1wogfjx/) — Reddit (r/LocalLLaMA) · Sep 23 · score 185 · 101 comments 2. [Disaggregated Quantization: Specializing LLM Prefill and Decode](https://huggingface.co/papers/2609.26333) — 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](https://dev.to/gde/gemma-4-on-a-tesla-t4-part-2-the-minimum-gce-vm-and-a-script-to-drive-it-3gk1) — 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](https://news.ycombinator.com/item?id=49879676) — Hacker News (github.com) · Sep 28 · score 2 · 0 comments 5. [Best Coding Agent LLM](https://www.reddit.com/r/LocalLLM/comments/1wr3sut/) — 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…](https://www.urbanmind.net/display/f7dd981d-2503e014-47b06ba7546506a7) — 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 #…](https://www.urbanmind.net/display/f7dd981d-64a381ea-e2f944b36daefe84) — 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?](https://www.reddit.com/r/LocalLLaMA/comments/1wp5u0p/) — Reddit (r/LocalLLaMA) · Sep 24 · score 0 · 39 comments 9. [Gemma 4 26b and qwen 3.8 27b preliminary Healthbench scores](https://www.reddit.com/r/LocalLLM/comments/1wofq79/) — 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](https://dev.to/gde/jev-after-eight-days-of-independent-tests-level-with-mid-price-llms-behind-the-frontier-1kln) — 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](https://dev.to/gde/running-a-jev-style-decision-model-on-one-tpu-v6e-what-fits-what-it-costs-and-what-changes-from-1j0g) — 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](https://dev.to/gde/plain-gemma-4-26b-vs-jev-on-one-ec2-l4-21-points-behind-overall-level-on-yesno-45-behind-on-15k6) — 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](https://abovethefog.app/themes/models.md) — 92% of its stories - [Usage & adoption](https://abovethefog.app/themes/usage_adoption.md) — 14% of its stories - [Protocols & infra](https://abovethefog.app/themes/protocols_infra.md) — 8.8% of its stories - [Agents](https://abovethefog.app/themes/agents.md) — 7.9% of its stories - [Policy & macro](https://abovethefog.app/themes/policy_macro.md) — 1.8% of its stories - Other AI — 1.8% of its stories ## Related topics - **Mentioned with:** [Local inference](https://abovethefog.app/topics/local_inference.md) (94 stories), [Qwen](https://abovethefog.app/topics/qwen.md) (89 stories), [Open-weight models](https://abovethefog.app/topics/open_weights.md) (25 stories), [Llama](https://abovethefog.app/topics/llama.md) (16 stories), [Muse Spark](https://abovethefog.app/topics/muse_spark.md) (6 stories), [Thinking Machines Lab](https://abovethefog.app/topics/thinking_machines.md) (3 stories) ## Hype score, last 30 days | Day | Hype score | Stage | |---|---:|---| | Sep 27, 2026 | 1.9 | 💤 Quiet | | Sep 26, 2026 | 12.1 | 🧊 Cooling | | Sep 25, 2026 | 40.2 | 🚀 Rising | | Sep 24, 2026 | 32 | 🚀 Rising | | Sep 23, 2026 | 32.1 | 🚀 Rising | | Sep 22, 2026 | 15.3 | 💤 Quiet | | Sep 21, 2026 | 15.5 | 💤 Quiet | | Sep 20, 2026 | 0 | 💤 Quiet | | Sep 19, 2026 | 0 | 💤 Quiet | | Sep 18, 2026 | 17.4 | 💤 Quiet | | Sep 17, 2026 | 22.4 | 💤 Quiet | | Sep 16, 2026 | 14.4 | 💤 Quiet | | Sep 15, 2026 | 14.2 | 💤 Quiet | | Sep 14, 2026 | 11.2 | 💤 Quiet | | Sep 13, 2026 | 0.7 | 💤 Quiet | | Sep 12, 2026 | 0 | 💤 Quiet | | Sep 11, 2026 | 2.3 | 💤 Quiet | | Sep 10, 2026 | 0.5 | 💤 Quiet | | Sep 9, 2026 | 0.6 | 💤 Quiet | | Sep 8, 2026 | 1.4 | 💤 Quiet | | Sep 7, 2026 | 0 | 💤 Quiet | | Sep 6, 2026 | 1.9 | 💤 Quiet | | Sep 5, 2026 | 0 | 💤 Quiet | | Sep 4, 2026 | 0.4 | 💤 Quiet | | Sep 3, 2026 | 1.1 | 💤 Quiet | | Sep 2, 2026 | 3.8 | 💤 Quiet | | Sep 1, 2026 | 1.1 | 💤 Quiet | | Aug 31, 2026 | 9.3 | 💤 Quiet | | Aug 30, 2026 | 1.7 | 💤 Quiet | | Aug 29, 2026 | 0 | 💤 Quiet | [Open Gemma in the interactive map →](https://abovethefog.app/#topic=gemma) --- Updated Sep 28, 2026, 22:02 UTC · Data: Above the Fog hype radar [HTML page](https://abovethefog.app/topics/gemma) · [llms.txt](https://abovethefog.app/llms.txt) · [About & methodology](https://abovethefog.app/about.md) · [Privacy](https://abovethefog.app/about.md#privacy)