8-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/gemma-3-12b-it-8bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- google/gemma-3-12b-pt (finetune)
- Vendor
- Google · Gemma
- Task
- Vision + text
- Quantisation
- 8-bit
- Licence
- gemma
- Downloads
- 336 in the last 30 days · 13K all time · 2 likes
- Published
- 2025-03-12 · updated 2025-03-19 (1y ago)
- Tags
- gemma3
Other MLX builds of google/gemma-3-12b-pt
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| gemma-3-12b-pt-4bit-text | 4-bit | ≈ 6.6 GB | 16 GB+ | 54 |
| gemma-3-12b-it-bf16 | bf16 | ≈ 26.4 GB | 32 GB+ | 1.7K |
| gemma-3-12b-it-4bit | 4-bit | — | — | 15K |
| gemma-3-12b-it-8bit (this one) | 8-bit | — | — | 336 |
| gemma-3-12b-it-6bit | 6-bit | — | — | 78 |