---
license: mit
pipeline_tag: image-feature-extraction
library_name: executorch
---

# clip-vit-base-patch32

This repository hosts the **clip-vit-base-patch32** 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.

Upstream model: [clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32)

## Variants

| Path | Component | Backend | Precision |
| --- | --- | --- | --- |
| `coreml/clip_vit_base_patch32_image_coreml_fp16.pte` | image | coreml | fp16 |
| `coreml/clip_vit_base_patch32_text_coreml_fp16.pte` | text | coreml | fp16 |
| `mlx/clip_vit_base_patch32_image_mlx_int8.pte` | - | mlx | int8 |
| `vulkan/clip_vit_base_patch32_image_vulkan_fp16.pte` | image | vulkan | fp16 |
| `vulkan/clip_vit_base_patch32_text_vulkan_fp16.pte` | text | vulkan | fp16 |
| `xnnpack/clip_vit_base_patch32_image_xnnpack_fp32.pte` | image | xnnpack | fp32 |
| `xnnpack/clip_vit_base_patch32_text_xnnpack_fp32.pte` | text | xnnpack | fp32 |

## Repository structure

```
config.json                                           43 B
coreml/clip_vit_base_patch32_image_coreml_fp16.pte    168 MB
coreml/clip_vit_base_patch32_text_coreml_fp16.pte     122 MB
coreml/config.json                                    1.7 kB
mlx/clip_vit_base_patch32_image_mlx_int8.pte          93.7 MB
mlx/config.json                                       840 B
tokenizer.json                                        2.1 MB
vulkan/clip_vit_base_patch32_image_vulkan_fp16.pte    168 MB
vulkan/clip_vit_base_patch32_text_vulkan_fp16.pte     121 MB
vulkan/config.json                                    1.7 kB
xnnpack/clip_vit_base_patch32_image_xnnpack_fp32.pte  335 MB
xnnpack/clip_vit_base_patch32_text_xnnpack_fp32.pte   242 MB
xnnpack/config.json                                   1.6 kB
```

## 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.