The issue could be that the container is still downloading the model weights, which can take some time, especially if the weights are large. You can check the progress of the download in the logs. Another possible issue could be that your processor does not support AVX2, which is required for running TabbyML. You can try using a different model or check the list of recommended models/sizes on the TabbyML documentation.