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| 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 | Backend | Precision | | |
| | --- | --- | --- | | |
| | `coreml/clip_vit_base_patch32_image_coreml_fp16.pte` | coreml | fp16 | | |
| | `coreml/clip_vit_base_patch32_text_coreml_fp16.pte` | coreml | fp16 | | |
| | `coreml/clip_vit_base_patch32_text_coreml_int8.pte` | coreml | int8 | | |
| | `mlx/clip_vit_base_patch32_image_mlx_int8.pte` | mlx | int8 | | |
| | `vulkan/clip_vit_base_patch32_image_vulkan_fp16.pte` | vulkan | fp16 | | |
| | `vulkan/clip_vit_base_patch32_text_vulkan_fp16.pte` | vulkan | fp16 | | |
| | `xnnpack/clip_vit_base_patch32_image_xnnpack_fp32.pte` | xnnpack | fp32 | | |
| | `xnnpack/clip_vit_base_patch32_image_xnnpack_int8.pte` | xnnpack | int8 | | |
| | `xnnpack/clip_vit_base_patch32_text_xnnpack_fp32.pte` | xnnpack | fp32 | | |
| | `xnnpack/clip_vit_base_patch32_text_xnnpack_int8.pte` | xnnpack | int8 | | |
| ## XNNPACK int8 | |
| The `xnnpack/*_int8.pte` towers are 8da8w (int8 dynamic activations, int8 per-channel | |
| weights) on the Linear layers; the text tower also has an int8 token embedding table. | |
| ImageNetV2 zero-shot top-1 (1000 images, one per class, "a photo of a {class}."): | |
| | image | text | top-1 | | |
| | --- | --- | --- | | |
| | fp32 | fp32 | 51.4 | | |
| | int8 | fp32 | 51.5 | | |
| | fp32 | int8 | 51.2 | | |
| | int8 | int8 | 51.3 | | |
| ## 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/clip_vit_base_patch32_text_coreml_int8.pte 61.0 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_image_xnnpack_int8.pte 91.5 MB | |
| xnnpack/clip_vit_base_patch32_text_xnnpack_fp32.pte 242 MB | |
| xnnpack/clip_vit_base_patch32_text_xnnpack_int8.pte 61.4 MB | |
| xnnpack/config.json 2.9 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. | |