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model

Gemma

Gemma is Google DeepMind's family of open-weight language models, released in multiple sizes for text generation, instruction-following, and function-calling.

Known aliases

  • FunctionGemma
  • Gemma 12B
  • Gemma 2
  • Gemma 3 1B
  • Gemma 4 26b
  • gemma-4-31b-it
  • Gemma-family 12B
  • Gemma Instant
  • Gemma Thinking
  • Gemmaverse
  • Google DeepMind Gemma
  • Google Gemma

Relationships

No evidence-backed relationships are recorded.

Current stories

science1 publisher

Stripping refusals from Gemma tilted its bug verdicts toward yes

A researcher ran the same FreeBSD scan through base and abliterated open-weight builds and found the uncensored ones graduating three to four times as many findings, while the most aggressive one never surfaced the actual CVE.

Publishers:clearbluejar.github.io

Reality

Evidence58
Adoption14
Hype gap+14
Incentives22
Confidence46
build1 publisher

Cached prefixes push 91% of a ReAct agent's LLM time into decode

An arXiv tracing study of Claude Code agents on Gemma and Qwen measured prefix-cache hit rates between 84.6 and 99.5 percent, which moves the serving bottleneck to how long you can keep KV blocks resident between tool calls.

Publishers:arxiv.org

Reality

Evidence58
Adoption25
Hype gap+12
Incentives
Insufficient
Confidence55

Earlier coverage

  1. Google put the model in the car: a Pixel on the CAN bus is the deployment shape nobody budgeted

    Leadership · August 19, 2026 · 1 publisher

  2. You Procured Qwen. Your Edge Boxes Are Running Somebody Else's File.

    Leadership · August 18, 2026 · 1 publisher