Gemma 3 27B
Google · Gemma
The largest Gemma 3 model and one of the best open-weight models in the 20–30B range. Fits in a single RTX 4090 (24 GB) with room to spare at Q4 quantization, and delivers instruction-following quality that rivals models twice its size.
Params
27B
License
Gemma Terms of Use
Context
128K
Min VRAM
15 GB
Min RAM
32 GB
Tier
Heavy
Run locally with Ollama
ollama run gemma3:27bOnce running, Ollama exposes an OpenAI-compatible endpoint at localhost:11434/v1.
Will it run on my hardware?
Gemma 3 27B needs about 15 GB of fast memory at Q4. Here is what in our hardware database clears that bar.
Runs at full speed · 11
Runs, but slower on shared memory · 3
1 other tracked configuration do not have enough memory.
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Specifications
| Parameters | 27B |
|---|---|
| Context window | 128K |
| License | Gemma Terms of Use |
| Min VRAM (Q4) | 15 GB |
| Min RAM | 32 GB |
| Recommended tier | Heavy |
| Best for | codinganalysischatcreative writing |
Variants on Ollama
Ollama serves the Q4_K_M quantization by default. Higher-precision tags exist for users with more memory.
Gemma 3 27B
ollama run gemma3:27bollama 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 We do not publish a download number for any model because we have no honest source for it.
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