diff --git a/models/dmonitoring_model.onnx b/models/dmonitoring_model.onnx
new file mode 100644
index 00000000000000..34bdfafd812704
--- /dev/null
+++ b/models/dmonitoring_model.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23112c8936b08f8215c844b37e2bb3f0eb00180c566cb4f4886a33afa15a13be
+size 716609
diff --git a/models/trt/.gitattributes b/models/trt/.gitattributes
deleted file mode 100644
index e6b1b01bd7edbe..00000000000000
--- a/models/trt/.gitattributes
+++ /dev/null
@@ -1,2 +0,0 @@
-*.trt filter=lfs diff=lfs merge=lfs -text
-supercombo.uff filter=lfs diff=lfs merge=lfs -text
diff --git a/models/trt/dmonitoring.metadata b/models/trt/dmonitoring.metadata
deleted file mode 100644
index 1f688bd3eb935e..00000000000000
--- a/models/trt/dmonitoring.metadata
+++ /dev/null
@@ -1 +0,0 @@
-{"input_names": ["input_img"], "output_names": ["face_descs/BiasAdd", "face_prob/Sigmoid", "left_blink_prob/Sigmoid", "left_eye_descs/BiasAdd", "left_eye_prob/Sigmoid", "right_blink_prob/Sigmoid", "right_eye_descs/BiasAdd", "right_eye_prob/Sigmoid"]}
\ No newline at end of file
diff --git a/models/trt/dmonitoring.trt b/models/trt/dmonitoring.trt
deleted file mode 100644
index 6ce8f20b021e16..00000000000000
--- a/models/trt/dmonitoring.trt
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:268008cbf8b13dc8fcb4bb4fdbd388ded5419b5a8c0f721aeb558a10896f2be1
-size 716746
diff --git a/models/trt/supercombo.metadata b/models/trt/supercombo.metadata
deleted file mode 100644
index d1422edeeef20f..00000000000000
--- a/models/trt/supercombo.metadata
+++ /dev/null
@@ -1 +0,0 @@
-{"input_names": ["input_1_1"], "output_names": ["concatenate/concat"]}
\ No newline at end of file
diff --git a/models/trt/supercombo.trt b/models/trt/supercombo.trt
deleted file mode 100644
index 7e10ce90cde326..00000000000000
--- a/models/trt/supercombo.trt
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2c3b67d5628dbe78d08809e20766c5f7502edf1c36527e3153bfc94ed9accdb8
-size 78663389
diff --git a/models/trt/supercombo.uff b/models/trt/supercombo.uff
deleted file mode 100644
index 34f37a89127ff5..00000000000000
--- a/models/trt/supercombo.uff
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:470a506205cb4772db46117d7a994a281d7a00cfd183024086ee7589283c337f
-size 78700850
diff --git a/tools/keras/keras2onnx.sh b/tools/keras/keras2onnx.sh
deleted file mode 100755
index 3dc79ac02c95e8..00000000000000
--- a/tools/keras/keras2onnx.sh
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/bin/bash
-echo "***********************************"
-echo "*     Keras2ONXX                  *"
-echo "***********************************"
-WORKING_DIR=/data/intermediate
-echo " "
-echo " "
-echo " Converting $1 to $2"
-echo " "
-echo " Cleaning intermediate data..."
-echo " "
-if [ -d "$WORKING_DIR" ]; then rm -Rf $WORKING_DIR; fi
-echo " "
-echo " Converting OP Keras to Saved_Model... "
-echo " "
-/data/openpilot/tools/keras/save_interm.py $1 $WORKING_DIR
-echo " "
-echo "  Converting Saved_Model to ONXX"
-echo " "
-python -m tf2onnx.convert --saved-model $WORKING_DIR --output $2
-echo " "
-echo " Cleaning up..."
-echo " "
-if [ -d "$WORKING_DIR" ]; then rm -Rf $WORKING_DIR; fi
-echo " "
-echo " Conversion completed! "
-echo " "
-
diff --git a/tools/keras/keras2onnx.py b/tools/keras/keras_onnx.py
old mode 100644
new mode 100755
similarity index 100%
rename from tools/keras/keras2onnx.py
rename to tools/keras/keras_onnx.py
diff --git a/tools/keras/save_interm.py b/tools/keras/save_interm.py
deleted file mode 100755
index a800489d798d0d..00000000000000
--- a/tools/keras/save_interm.py
+++ /dev/null
@@ -1,49 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-
-import json
-from pathlib import Path
-import tensorflow as tf
-import tensorflow.keras as keras
-import numpy as np
-from tensorflow.keras.models import Model
-from tensorflow.keras.models import model_from_json, load_model
-import sys
-import numpy as np
-in_model = os.path.expanduser(sys.argv[1])
-output = os.path.expanduser(sys.argv[2])
-input_path = Path(in_model)
-output_p = '%s/%s' % (output, input_path.stem)
-output_path = Path(output_p)
-output_meta = Path('%s/%s.metadata' % (output_path.parent.as_posix(), output_path.stem))
-
-
-# Reset session
-tf.keras.backend.clear_session()
-tf.keras.backend.set_learning_phase(0)
-
-model = tf.keras.models.load_model(in_model, compile=False)
-session = tf.keras.backend.get_session()
-
-bs = [int(np.product(ii.shape[1:])) for ii in model.inputs]
-ri = keras.layers.Input((sum(bs),))
-tii = []
-acc = 0
-for i, ii in enumerate(model.inputs):
-  ti = keras.layers.Lambda(lambda x: x[:,acc:acc+bs[i]], output_shape=(1, bs[i]))(ri)
-  acc += bs[i]
-  tr = keras.layers.Reshape(ii.shape[1:])(ti)
-  tii.append(tr)
-no = keras.layers.Concatenate()(model(tii))
-model = Model(inputs=ri, outputs=[no])
-
-input_names = sorted([layer.op.name for layer in model.inputs])
-output_names = sorted([layer.op.name for layer in model.outputs])
-
-# Store additional information in metadata, useful when creating a TensorRT network
-meta = {'input_names': input_names, 'output_names': output_names}
-
-model.summary()
-tf.saved_model.save(model,output_p)
-