Skip to content

gemma-3-1b-it-bf16

mlx-community/gemma-3-1b-it-bf16
Text generation · transformers
bf16 Open on Hugging Face
Parameters
1.3B
Weights (est.)
≈ 2.6 GB
Mac memory (est.)
8 GB+

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-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/gemma-3-1b-it-bf16 --prompt "Hello"

Details

Base model
google/gemma-3-1b-it (finetune)
Vendor
Google · Gemma
Task
Text generation
Quantisation
bf16
Licence
gemma
Downloads
1.6K in the last 30 days · 5.2K all time · 1 likes
Published
2025-03-12 · updated 2025-03-12 (1y ago)
Tags
gemma3_text

Other MLX builds of google/gemma-3-1b-it

Build Quantisation Weights Mac memory Downloads
gemma-3-1b-it-qat-4bit 4-bit ≈ 732 MB 8 GB+ 23K
gemma-3-1b-it-4bit 4-bit ≈ 732 MB 8 GB+ 7.3K
gemma-3-1b-it-4bit-DWQ 4-bit DWQ ≈ 732 MB 8 GB+ 848
gemma-3-1b-it-DQ 4-bit ≈ 732 MB 8 GB+ 44
gemma-3-1b-it-6bit 6-bit ≈ 1.1 GB 8 GB+ 53
gemma-3-1b-it-qat-6bit 6-bit ≈ 1.1 GB 8 GB+ 29
gemma-3-1b-it-8bit 8-bit ≈ 1.4 GB 8 GB+ 146
gemma-3-1b-it-qat-8bit 8-bit ≈ 1.4 GB 8 GB+ 99
gemma-3-1b-it-bf16 (this one) bf16 ≈ 2.6 GB 8 GB+ 1.6K
gemma-3-1b-it-qat-bf16 bf16 ≈ 2.6 GB 8 GB+ 36