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copybara-service merged 1 commit into from
Apr 7, 2026
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Internal change #616

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20 changes: 17 additions & 3 deletions docs/checkpoints.md
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Original file line number Diff line number Diff line change
@@ -1,17 +1,19 @@
# Checkpoints

## KaggleHub
## Kaggle Hub

Gemma models are available on KaggleHub for various formats (Jax, PyTorch,...):
Gemma models are available on Kaggle Hub for various formats:

* [Gemma 4](https://www.kaggle.com/models/google/gemma-4/)
* [Gemma 3](https://www.kaggle.com/models/google/gemma-3/)
* [Gemma 2](https://www.kaggle.com/models/google/gemma-2/)
* [Gemma 1](https://www.kaggle.com/models/google/gemma/)

To manually download the model:

* Select one of the **Flax** model variations
* Click the ⤓ button to download the model archive, then extract it locally
* 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:

Expand All @@ -30,6 +32,12 @@ 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.

<section class="zippy" markdown="1">

### v3

| Size | Variant | Quantized | Name |
Expand Down Expand Up @@ -59,6 +67,10 @@ weights_dir = kagglehub.model_download(f'google/gemma-3/flax/gemma3-4b-it')
| 27B | Instruction | Y | `google/gemma-3/flax/gemma3-27b-it-int4` |
: : Tuned (IT) : : :

</section>

<section class="zippy" markdown="1">

### v2

Size | Variant | Name
Expand All @@ -69,3 +81,5 @@ Size | Variant | Name
2.6B | Instruction Tuned (IT) | `google/gemma-2/flax/gemma2-2b-it`
9B | Instruction Tuned (IT) | `google/gemma-2/flax/gemma2-9b-it`
27B | Instruction Tuned (IT) | `google/gemma-2/flax/gemma2-27b-it`

</section>
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