diff --git a/ml/backend/ggml/ggml.go b/ml/backend/ggml/ggml.go
index 7d6831eed0..243476891a 100644
--- a/ml/backend/ggml/ggml.go
+++ b/ml/backend/ggml/ggml.go
@@ -356,23 +356,25 @@ func New(modelPath string, params ml.BackendParams) (ml.Backend, error) {
 	}
 
 	// Mimic llama runner logs summarizing layers and memory
-	slog.Info(fmt.Sprintf("offloading %d repeating layers to GPU", max(0, params.NumGPULayers-1)))
 	gpuLayers := 0
-	switch C.ggml_backend_dev_type(output.d) {
-	case 0: // CPU
-		slog.Info("offloading output layer to CPU")
-	case 1: // GPU
-		slog.Info("offloading output layer to GPU")
-		gpuLayers++
-	case 2: // ACCEL
-		slog.Info("offloading output layer to ACCEL")
-	}
 	for _, layer := range layers {
-		if C.ggml_backend_dev_type(layer.d) == 1 {
+		if C.ggml_backend_dev_type(layer.d) == C.GGML_BACKEND_DEVICE_TYPE_GPU {
 			gpuLayers++
 		}
 	}
+	slog.Info(fmt.Sprintf("offloading %d repeating layers to GPU", gpuLayers))
+
+	switch C.ggml_backend_dev_type(output.d) {
+	case C.GGML_BACKEND_DEVICE_TYPE_CPU:
+		slog.Info("offloading output layer to CPU")
+	case C.GGML_BACKEND_DEVICE_TYPE_GPU:
+		slog.Info("offloading output layer to GPU")
+		gpuLayers++
+	case C.GGML_BACKEND_DEVICE_TYPE_ACCEL:
+		slog.Info("offloading output layer to ACCEL")
+	}
 	slog.Info(fmt.Sprintf("offloaded %d/%d layers to GPU", gpuLayers, len(layers)+1))
+
 	for bs := range maps.Values(bbs) {
 		slog.Info("model weights", "buffer", C.GoString(C.ggml_backend_buffer_name(bs)), "size", format.HumanBytes2(uint64(C.ggml_backend_buffer_get_size(bs))))
 	}