diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -83,6 +83,7 @@ To save both the trained model and the captured training data, type in a filenam
 
 Four pretrained face landmark models are included. Using the `--model` switch, it is possible to select them for tracking. The given fps values are for running the model on a single face video on a single CPU core. Lowering the frame rate would reduce CPU usage by a corresponding degree.
 
+* Model **-1**: This model is for running on toasters, so it's a very very fast and very low accuracy model. (213fps without gaze tracking)
 * Model **0**: This is a very fast, low accuracy model. (68fps)
 * Model **1**: This is a slightly slower model with better accuracy. (59fps)
 * Model **2**: This is a slower model with good accuracy. (50fps)
diff --git a/models/lm_modelT_opt.onnx b/models/lm_modelT_opt.onnx
index 20fc39b..27b03c8 100644
Binary files a/models/lm_modelT_opt.onnx and b/models/lm_modelT_opt.onnx differ