Checkpoints#
Kaggle Hub#
Gemma models are available on Kaggle Hub for various formats:
To manually download the model:
Select one of the Flax model variations
Click the “Download” button to download the model archive
Extract the model files from the archive
The archive contains both the model weights and the tokenizer, like:
2b/ # Directory containing model weights
tokenizer.model # Tokenizer
To programmatically download the model:
import kagglehub
kagglehub.login()
weights_dir = kagglehub.model_download(f'google/gemma-3/flax/gemma3-4b-it')
v4#
NOTE: Gemma 4 Flax checkpoints will be updated on Kaggle when possible.
v3#
Size |
Variant |
Quantized |
Name |
|---|---|---|---|
1B |
Pre-trained |
|
|
: : (PT) : : : |
|||
4B |
Pre-trained |
|
|
: : (PT) : : : |
|||
12B |
Pre-trained |
|
|
: : (PT) : : : |
|||
27B |
Pre-trained |
|
|
: : (PT) : : : |
|||
1B |
Instruction |
|
|
: : Tuned (IT) : : : |
|||
4B |
Instruction |
|
|
: : Tuned (IT) : : : |
|||
12B |
Instruction |
|
|
: : Tuned (IT) : : : |
|||
27B |
Instruction |
|
|
: : Tuned (IT) : : : |
|||
1B |
Instruction |
Y |
|
: : Tuned (IT) : : : |
|||
4B |
Instruction |
Y |
|
: : Tuned (IT) : : : |
|||
12B |
Instruction |
Y |
|
: : Tuned (IT) : : : |
|||
27B |
Instruction |
Y |
|
: : Tuned (IT) : : : |
v2#
Size |
Variant |
Name |
|---|---|---|
2.6B |
Pre-trained (PT) |
|
9B |
Pre-trained (PT) |
|
27B |
Pre-trained (PT) |
|
2.6B |
Instruction Tuned (IT) |
|
9B |
Instruction Tuned (IT) |
|
27B |
Instruction Tuned (IT) |
|