Text model · Gemma
Gemma 3 12B: RAM and VRAM requirements
Gemma 3 12B needs about 8.9 GB to run at Q4_K_M (the Q4_K_M GGUF file is ~7.3 GB to download; KV cache and overhead add the rest), or about 14.1 GB at Q8_0. The lightest hardware that runs it is Nvidia GeForce RTX 3060 (12GB).
Gemma family · 12B params · released Mar 2025 · 32.8M Ollama pulls · LMArena Elo 1342.
Shopping for hardware? See what runs Gemma 3 12B →
Q4_K_M and Q8_0 are GGUF download (file) sizes. Memory @ Q4 includes the KV cache and overhead, so it runs larger than the file on disk.
Will it run on your device?
Gemma 3 12B runs on 29 of 40 tracked devices at Q4_K_M.
Memory breakdown
How context length changes it
Longer context grows the KV cache quickly: Gemma 3 12B needs ~8.9 GB at 4k but ~34.7 GB at 128k, which can push it past a device that fits it at a short context.
Speed drops too: every token re-reads the KV cache, so at 128k context Gemma 3 12B generates at roughly ~22% of its short-context speed. How this is estimated.
Benchmark scores
BFCL · tool use
#8 of 19 ranked · Overall Acc on the Berkeley Function-Calling Leaderboard.
LMArena · chat (elo)
#5 of 16 ranked · Human-preference Elo from LMArena's blind head-to-head votes.
Sourced third-party benchmarks for the full-precision Gemma 3 12B, not a specific quant. See the full leaderboard.
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 5 GB est |
| Q3_K_M | 5.9 GB est |
| Q4_K_M (default) | 7.3 GB |
| Q5_K_M | 8.6 GB est |
| Q6_K | 9.8 GB est |
| Q8_0 | 12.51 GB |
| FP16 | 24 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run gemma3:12b llama-cli -hf bartowski/google_gemma-3-12b-it-GGUF:Q4_K_M lms get bartowski/google_gemma-3-12b-it-GGUF Which devices can run Gemma 3 12B?
Apple Silicon Macs
- Apple M1 (8GB) No
- Apple M2 (16GB) Yes
- Apple M4 (16GB) Yes
- Apple M5 (16GB) Yes
- Apple M3 Pro (18GB) Yes
- Apple M4 (24GB) Yes
- Apple M4 Pro (24GB) Yes
- Apple M5 (32GB) Yes
- Apple M4 Pro (48GB) Yes
- Apple M5 Pro (48GB) Yes
- Apple M4 Max (64GB) Yes
- Apple M4 Max (128GB) Yes
- Apple M5 Max (128GB) Yes
- Apple M3 Ultra (256GB) Yes
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
Same job, different size
Pick by what fits your memory: step down to free up VRAM, or step up if you have headroom.
Similar models
Head-to-head
- Gemma 3 12B vs Gemma 3 270M
- Gemma 3 12B vs Gemma 3 1B
- Gemma 3 12B vs Gemma 2 2B
- Gemma 3 12B vs Gemma 3 4B
- Gemma 3 12B vs Gemma 4 E2B
- Gemma 3 12B vs Gemma 3n E4B
- Gemma 3 12B vs Gemma 4 E4B
- Gemma 3 12B vs Gemma 2 9B
- Gemma 3 12B vs Gemma 4 12B
- Gemma 3 12B vs Gemma 4 26B-A4B
- Gemma 3 12B vs Gemma 2 27B
- Gemma 3 12B vs Gemma 3 27B
- Gemma 3 12B vs Gemma 4 31B
FAQ
How much VRAM or RAM does Gemma 3 12B need?
At Q4_K_M, Gemma 3 12B needs about 8.9 GB (weights ~7.3 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~14.1 GB.
What is the Q4_K_M GGUF file size of Gemma 3 12B?
The Q4_K_M GGUF file is about 7.3 GB to download, and the Q8_0 GGUF is about 12.51 GB. That is the weights file on disk; to run it you also need room for the KV cache and overhead, so budget ~8.9 GB of memory at Q4_K_M.
Can Gemma 3 12B run on a laptop?
Gemma 3 12B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.
Can I use Gemma 3 12B commercially?
Conditionally. Gemma Terms of Use apply to commercial use.
Understand the numbers
Short guides to the ideas behind Gemma 3 12B's memory and quant figures.
Released March 12, 2025. Multimodal (text + image), 140+ languages. Ollama shows 8.1GB default; bartowski HF (google_gemma-3-12b-it-GGUF) gives precise 7.30GB Q4_K_M and 12.51GB Q8_0.
Sources
Last validated 2026-08-03. Memory figures are estimates. See methodology.