bf16 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-3-27b-it-qat-bf16 --image photo.jpg --prompt "Describe this image"
Details
- Base model
- google/gemma-3-27b-it (finetune)
- Vendor
- Google · Gemma
- Task
- Vision + text
- Quantisation
- bf16
- Licence
- gemma
- Downloads
- 40 in the last 30 days · 7.9K all time · 6 likes
- Published
- 2025-04-15 · updated 2025-04-18 (1y ago)
- Tags
- gemma3, gemma, google
Other MLX builds of google/gemma-3-27b-it
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| Gemma-SEA-LION-v4-27B-IT-mlx-4bit | 4-bit | ≈ 5.3 GB | 8 GB+ | 24 |
| gemma-3-27b-it-4bit-DWQ | 4-bit DWQ | ≈ 16.0 GB | 24 GB+ | 53 |
| gemma-3-27b-it-qat-bf16 (this one) | bf16 | — | — | 40 |