gemma
0.27B parameters
Commercial OK
Reviewed May 2026

Gemma 3 270M

Gemma 3 270M is the smallest member of Google's Gemma 3 family, a 270-million-parameter text-only model designed for on-device deployment and task-specific fine-tuning. It carries the Gemma license and Google's acceptable-use restrictions but is permitted for commercial use.

License: gemma·Context: 32,768 tokens
BLK · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED MAY 29, 2026
unrated

Not a chat model — treat it as a fine-tuning substrate. Gemma 3 270M is what you reach for when you want to ship a domain-specific SLM on a watch, hearing aid, or low-end Android device and you control the training data.

Overview

Gemma 3 270M is the smallest member of Google's Gemma 3 family, a 270-million-parameter text-only model designed for on-device deployment and task-specific fine-tuning. It carries the Gemma license and Google's acceptable-use restrictions but is permitted for commercial use.

Strengths

  • True sub-300M footprint runs comfortably on a phone CPU
  • 32K context window is exceptional at this size
  • Excellent base for fine-tuning narrow tasks (intent, NER, routing)
  • Backed by Google's full Gemma tooling (Keras, MediaPipe, Vertex)

Weaknesses

  • Out-of-the-box chat quality is weak compared to Qwen3-0.6B
  • Gemma license includes a prohibited-use policy that some legal teams dislike
  • Gated repo requires HF acceptance even for download automation
  • No instruction-tuned variant of this exact size, so requires fine-tuning

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M0.2 GB1 GB

Get the model

HuggingFace

Original weights

huggingface.co/google/gemma-3-270m

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of Gemma 3 270M.

Compare alternatives

Models worth comparing

Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.

Step up
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Step down
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No verdicted models in the next tier down yet.

Frequently asked

What's the minimum VRAM to run Gemma 3 270M?

1GB of VRAM is enough to run Gemma 3 270M at the Q4_K_M quantization (file size 0.2 GB). Higher-quality quantizations need more.

Can I use Gemma 3 270M commercially?

Yes — Gemma 3 270M ships under the gemma, which permits commercial use. Always read the license text before deployment.

What's the context length of Gemma 3 270M?

Gemma 3 270M supports a context window of 32,768 tokens (about 33K).

Source: huggingface.co/google/gemma-3-270m

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify Gemma 3 270M runs on your specific hardware before committing money.