Sync model repo (text/metadata)

README.md

@@ -180,13 +180,40 @@ Patch embeddings are kept in FP32 on this export. The model's quantization spec
 
 ## About this version
 
-This repository contains a converted version of the facebook/deit-tiny-patch16-224 model, originally developed by Meta.
-Arm has converted the model to enable efficient execution on Arm-based platforms. No changes have been made to the model's intended behavior.
+Original Model:
+facebook/deit-tiny-patch16-224 by Meta - [Repository](https://huggingface.co/facebook/deit-tiny-patch16-224)
 
-## Original model and documentation
+Optimization/conversion:
+Arm-Optimized version for execution on Arm-based platforms.
 
-For full details of the original model, please refer to the original [model card](https://huggingface.co/facebook/deit-tiny-patch16-224).
+Converted/optimized by:
+Arm
 
-## Purpose of this release
+License:
+The Original Model and the Optimized Model are subject to [Apache-2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md).
 
-This version is provided by Arm as a reference implementation to demonstrate performance on Arm-based systems. It is not a production-ready or supported solution. Users should evaluate the model independently for their use-case. Arm provides no warranties or ongoing support for this version.
+This repository contains a converted or optimized version of the Original Model (the “Optimized Model”). The Original Model has been converted or optimized as described above for execution on Arm-based platforms.
+
+No retraining or fine-tuning of the Original Model was performed as part of the conversion or optimization. The conversion or optimization was not intended to change the Original Model’s behavior or intended use.
+
+### Original Model and Documentation
+
+For information about the Original Model, including its development, training data, intended uses, limitations and other relevant information, please refer to the [Original Model repository](https://huggingface.co/facebook/deit-tiny-patch16-224). Information in that repository was provided by the original developer or other third parties and, unless expressly stated otherwise, has not been independently verified by Arm.
+
+### Licenses and Third-Party Terms
+
+Use of the Original Model and the Optimized Model is subject to the applicable licenses, usage restrictions and other terms identified above and in the relevant repositories. Publication of the Optimized Model does not grant any rights beyond those provided under the applicable license terms.
+
+You are responsible for reviewing those terms and ensuring that your use of the Original Model and the Optimized Model is permitted.
+
+### Purpose of this Release
+
+The Optimized Model is provided as a reference implementation to demonstrate and evaluate execution and performance on Arm-based systems. It is not a production-ready or supported solution.
+
+Arm’s publication of the Optimized Model does not constitute an endorsement or certification of the Original Model or a representation that the Optimized Model is suitable for production use or any particular purpose.
+
+To the fullest extent permitted by applicable law (i) the Optimized Model is provided “as is.” Arm makes no representations or warranties that the Original Model, the Optimized Model or their outputs are accurate, safe, secure, non-infringing, legally compliant, suitable for production use or fit for any particular purpose; and (ii) Arm will not be liable for any loss or damage arising from or in connection with the Optimized Model, its use or its outputs.
+
+You are responsible for independently evaluating the Optimized Model, its outputs and its suitability for your intended use, including compliance with applicable legal, regulatory, safety and security requirements.
+
+Arm does not commit to provide ongoing support, maintenance or updates for the Optimized Model. Any use of or reliance on the Optimized Model or its outputs is at your own risk.

metadata.yaml

@@ -1,7 +1,7 @@
 schema_version: 1.0.0
 report_type: vision-classification
 task_type: image-classification
-title: DeiT-Tiny INT8 (LiteRT + XNNPACK)
+title: DeiT-Tiny INT8
 description: This is an INT8-quantized version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) optimized for edge
   deployment on ARM devices using [LiteRT](https://ai.google.dev/edge/litert) with the XNNPACK backend and KleidiAI acceleration.
   The model was quantized using post-training static INT8 quantization (PT2E), calibrated on 100 ImageNet-1k images, and exported