Updated model card

README.md

@@ -16,15 +16,13 @@ tags:
 We provide the [.pte file](https://huggingface.co/pytorch/SmolLM3-3B-8da4w/blob/main/smollm3-3b-8da4w.pte) for direct use in ExecuTorch. *(The provided pte file is exported with the default max_seq_length/max_context_length of 2k.)*
 
 # Running in a mobile app
-The [.pte file](https://huggingface.co/pytorch/SmolLM3-3B-8da4w/blob/main/smollm3-3b-8da4w.pte) can be run with ExecuTorch on a mobile phone. See the instructions for doing this in [iOS](https://pytorch.org/executorch/main/llm/llama-demo-ios.html) and [Android](https://docs.pytorch.org/executorch/main/llm/llama-demo-android.html).
+The [.pte file](https://huggingface.co/pytorch/SmolLM3-3B-8da4w/blob/main/smollm3-3b-8da4w.pte) can be run with ExecuTorch on a mobile phone. See the instructions for doing this in [iOS](https://pytorch.org/executorch/main/llm/llama-demo-ios.html) and [Android](https://docs.pytorch.org/executorch/main/llm/llama-demo-android.html). On Galagy S22, the model runs at 15.5 tokens/s.
 
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/65e8b9b6624b8e44f56da2b1/LAr38RQvF-SpYl2EmGBbU.png)
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/65e8b9b6624b8e44f56da2b1/ANZ6DrVlKOkuCQYZfHEBI.jpeg)
 
 # Running with ExecuTorch’s sample runner
 You can also run this model using ExecuTorch’s sample runner following [Step 3&4 in this instruction](https://github.com/pytorch/executorch/blob/main/examples/models/llama/README.md#step-3-run-on-your-computer-to-validate).
 
-On Google's Pixel 8 Pro, the model runs at 12.7 tokens/s.
 
 # Export Recipe
 You can re-create the `.pte` file from eager source using this export recipe.