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---
license: gemma
pipeline_tag: text-generation
tags:
- google
- deepmind
- gemma4
- edge
base_model:
- google/gemma-4-E2B
library_name: executorch
---
# gemma-4
This repository hosts the **gemma-4** models exported for the
[React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch)
library as ExecuTorch `.pte` programs, ready to run on device.
## Variants
| Path | Backend | Precision |
| --- | --- | --- |
| `e2b/mlx/gemma4_e2b_mlx_int4.pte` | mlx | int4 |
| `e2b/vulkan/gemma_4_e2b_vulkan_8da4w.pte` | vulkan | 8da4w |
| `e2b/xnnpack/gemma_4_e2b_xnnpack_8da4w.pte` | xnnpack | 8da4w |
## Repository structure
```
config.json 28 B
e2b/mlx/config.json 1.2 kB
e2b/mlx/gemma4_e2b_mlx_int4.pte 2.7 GB
e2b/tokenizer.json 30.7 MB
e2b/tokenizer_config.json 21.8 kB
e2b/vulkan/config.json 1.3 kB
e2b/vulkan/gemma_4_e2b_vulkan_8da4w.pte 2.4 GB
e2b/xnnpack/config.json 1.3 kB
e2b/xnnpack/gemma_4_e2b_xnnpack_8da4w.pte 2.5 GB
```
## Compatibility
These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch
gives no forward compatibility guarantee, so an older runtime may fail to load
them.
To use them in React Native ExecuTorch, pass the model constant shipped in the
library's model registry to the corresponding task pipeline. See the
[documentation](https://docs.swmansion.com/react-native-executorch/docs/fundamentals/downloading-models).
To load these files in your own ExecuTorch runtime, read the
[compatibility note](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md)
first.