Add ExecuTorch WebGPU program for smolvlm-500m-instruct

README.md

@@ -16,7 +16,7 @@ tags:
 This repository contains an [ExecuTorch](https://github.com/pytorch/executorch) conversion of
 [HuggingFaceTB/SmolVLM-500M-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-500M-Instruct) for the ExecuTorch **WebGPU** backend, so the model runs entirely in a web browser on
 the visitor's GPU. It powers the corresponding demo in the
-[ExecuTorch Playground](https://executorch.ai/playground/webgpu/).
+ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)).
 
 - **Base model:** [HuggingFaceTB/SmolVLM-500M-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-500M-Instruct)
 - **Format:** ExecuTorch `.pte` programs delegated to the WebGPU backend
@@ -43,14 +43,13 @@ Full checksums are in `manifest.json`. The playground verifies them after downlo
 
 These programs need the ExecuTorch WebGPU runtime compiled to WebAssembly
 ([backends/webgpu](https://github.com/pytorch/executorch/tree/main/backends/webgpu)). The easiest way to
-try the model is the [ExecuTorch Playground](https://executorch.ai/playground/webgpu/), which downloads these
-files once, caches them in the browser, and runs everything locally.
+try the model is the ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)),
+which downloads these files once, caches them in the browser, and runs everything locally.
 
 ## Provenance
 
-- Converted from the upstream checkpoint with ExecuTorch's WebGPU export path.
-- Upstream revision: _to be recorded at export time_.
-- Export recipe: _to be published with the ExecuTorch release that ships the WebGPU runtime_.
+- Converted from the upstream checkpoint by the ExecuTorch team with the WebGPU export path.
+- A reproducible export recipe will be published alongside the open-source ExecuTorch WebGPU runtime.
 
 ## License