v0.32.0

See https://github.com/quic/ai-hub-models/releases/v0.32.0 for changelog.

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 Beit.so filter=lfs diff=lfs merge=lfs -text
 Beit.dlc filter=lfs diff=lfs merge=lfs -text
+DEPLOYMENT_MODEL_LICENSE.pdf filter=lfs diff=lfs merge=lfs -text

Beit.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd54cb34de4b08be2033f0ee485f1eef976797e80b388f0cf587e5aac32cf6a6
-size 368190993
+oid sha256:42a3b27ebf15a888b7bef59cd58b8db48221862c7d15f1b3a4efaa3a8608f26b
+size 368203420

DEPLOYMENT_MODEL_LICENSE.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4409f93b0e82531303b3e10f52f1fdfb56467a25f05b7441c6bbd8bb8a64b42c
+size 109629

LICENSE

@@ -0,0 +1,2 @@
+The license of the original trained model can be found at https://github.com/pytorch/vision/blob/main/LICENSE.
+The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found in DEPLOYMENT_MODEL_LICENSE.pdf.

README.md

@@ -30,8 +30,8 @@ More details on model performance across various devices, can be found
 - **Model Stats:**
   - Model checkpoint: Imagenet
   - Input resolution: 224x224
-  - Number of parameters: 87M
-  - Model size: 169 MB
+  - Number of parameters: 92.0M
+  - Model size (float): 351 MB
 
 | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
 |---|---|---|---|---|---|---|---|---|
@@ -55,15 +55,15 @@ More details on model performance across various devices, can be found
 | Beit | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 17.202 ms | 0 - 327 MB | NPU | [Beit.dlc](https://huggingface.co/qualcomm/Beit/blob/main/Beit.dlc) |
 | Beit | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 12.171 ms | 0 - 15 MB | NPU | [Beit.tflite](https://huggingface.co/qualcomm/Beit/blob/main/Beit.tflite) |
 | Beit | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 14.571 ms | 0 - 33 MB | NPU | [Beit.dlc](https://huggingface.co/qualcomm/Beit/blob/main/Beit.dlc) |
-| Beit | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 14.754 ms | 0 - 253 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |
+| Beit | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 14.605 ms | 0 - 380 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |
 | Beit | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 8.649 ms | 0 - 337 MB | NPU | [Beit.tflite](https://huggingface.co/qualcomm/Beit/blob/main/Beit.tflite) |
 | Beit | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 9.93 ms | 0 - 344 MB | NPU | [Beit.dlc](https://huggingface.co/qualcomm/Beit/blob/main/Beit.dlc) |
-| Beit | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 10.261 ms | 1 - 354 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |
+| Beit | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 10.304 ms | 1 - 357 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |
 | Beit | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 7.972 ms | 0 - 322 MB | NPU | [Beit.tflite](https://huggingface.co/qualcomm/Beit/blob/main/Beit.tflite) |
 | Beit | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 9.398 ms | 1 - 320 MB | NPU | [Beit.dlc](https://huggingface.co/qualcomm/Beit/blob/main/Beit.dlc) |
-| Beit | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 9.359 ms | 1 - 326 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |
+| Beit | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 8.12 ms | 1 - 326 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |
 | Beit | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 18.125 ms | 1107 - 1107 MB | NPU | [Beit.dlc](https://huggingface.co/qualcomm/Beit/blob/main/Beit.dlc) |
-| Beit | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 17.776 ms | 186 - 186 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |
+| Beit | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 17.841 ms | 186 - 186 MB | NPU | [Beit.onnx](https://huggingface.co/qualcomm/Beit/blob/main/Beit.onnx) |