Gemma 3 4B
Google · Gemma
Google's compact Gemma 3 model brings the quality of a much larger system into a 4B package that runs on integrated graphics. A strong first choice for anyone wanting a capable, low-power model without needing a discrete GPU.
Params
4B
License
Gemma Terms of Use
Context
128K
Min VRAM
3 GB
Min RAM
8 GB
Tier
Light
Run locally with Ollama
ollama run gemma3:4bOnce running, Ollama exposes an OpenAI-compatible endpoint at localhost:11434/v1.
Will it run on my hardware?
Gemma 3 4B needs about 3 GB of fast memory at Q4. Here is what in our hardware database clears that bar.
Runs at full speed · 12
Runs, but slower on shared memory · 3
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Specifications
| Parameters | 4B |
|---|---|
| Context window | 128K |
| License | Gemma Terms of Use |
| Min VRAM (Q4) | 3 GB |
| Min RAM | 8 GB |
| Recommended tier | Light |
| Best for | chatsummarizationcoding |
Variants on Ollama
Ollama serves the Q4_K_M quantization by default. Higher-precision tags exist for users with more memory.
Gemma 3 4B
ollama run gemma3:4bollama pull gemma3:q8_0ollama pull gemma3:fp16Exact quantization tags vary per model — run ollama show gemma3 or check the tags page for the full list.
Popularity trend (illustrative)
Illustrative adoption trend, not actual download counts. We do not publish a download number for any model because we have no honest source for it.
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