clip-vit-base-patch32
This repository hosts the clip-vit-base-patch32 models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: 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.
To load these files in your own ExecuTorch runtime, read the compatibility note first.
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