Instructions to use google/gemma-4-12B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it") model = AutoModelForImageTextToText.from_pretrained("google/gemma-4-12B-it") - Notebooks
- Google Colab
- Kaggle
NVFP4 / FP8 Quantizations
#19 opened about 2 hours ago
by
vincentzed-hf
Dimension mismatch crashes the engine at startup
#18 opened about 3 hours ago
by
Shaulsh
Gemma 4 124b
π 1
#17 opened about 3 hours ago
by
FusionCow
Thank you Google team
#16 opened about 3 hours ago
by
jreoka
Thanks again!
#15 opened about 4 hours ago
by
JanjanJean
MTP Assistant Model
#14 opened about 6 hours ago
by
patrickdeanbrown
I've been having a bunch of issues trying to do translations from Chinese to English
#13 opened about 11 hours ago
by
unlambda
Preserve the correct ordering of content and tool calls when rendering OpenAI Chat Completions
#12 opened about 11 hours ago
by
yzong-rh
fix max_position_embeddings 128Ki --> 256Ki
#11 opened about 12 hours ago
by
ddh0
Wrong context size in config.json?
π 1
#10 opened about 12 hours ago
by
coder543
Good, Google
π€π 3
3
#9 opened about 13 hours ago
by
dof-studio-org
File path upper case issue
#8 opened about 13 hours ago
by
sleepyeldrazi
Add HLE evaluation result
#7 opened about 16 hours ago
by
SaylorTwift
Add AIME 2026 evaluation result
#6 opened about 16 hours ago
by
SaylorTwift
Add MMMU Pro evaluation result
#5 opened about 16 hours ago
by
SaylorTwift
Add MMLU-Pro evaluation result
#4 opened about 16 hours ago
by
SaylorTwift
Add GPQA Diamond evaluation result
#3 opened about 16 hours ago
by
SaylorTwift
This is an awesome model proposition/idea for users with few VRAM.
π 2
2
#2 opened about 16 hours ago
by
Nesy1
Gemma 4:124b
ππ 74
15
#1 opened about 16 hours ago
by
seamon67