diff --git a/pyproject.toml b/pyproject.toml
index f9b4617ecc..e554a2f29d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -42,7 +42,7 @@ dependencies = [
 
   # modeld
   "onnx >= 1.14.0",
-  "onnxruntime >=1.16.3",
+  "llvmlite",
 
   # logging
   "pyzmq",
diff --git a/selfdrive/modeld/SConscript b/selfdrive/modeld/SConscript
index dbe6faf86e..6caac3bce3 100644
--- a/selfdrive/modeld/SConscript
+++ b/selfdrive/modeld/SConscript
@@ -41,8 +41,10 @@ lenv.Command(fn + "_metadata.pkl", [fn + ".onnx"] + tinygrad_files + script_file
 pythonpath_string = 'PYTHONPATH="${PYTHONPATH}:' + env.Dir("#tinygrad_repo").abspath + '"'
 if arch == 'larch64':
   device_string = 'QCOM=1'
-else:
+elif arch == 'Darwin':
   device_string = 'CLANG=1 IMAGE=0'
+else:
+  device_string = 'LLVM=1 LLVMOPT=1 BEAM=0 IMAGE=0'
 
 for model_name in ['supercombo', 'dmonitoring_model']:
   fn = File(f"models/{model_name}").abspath
diff --git a/selfdrive/modeld/dmonitoringmodeld.py b/selfdrive/modeld/dmonitoringmodeld.py
index a20155e3ec..9ebdea4c75 100755
--- a/selfdrive/modeld/dmonitoringmodeld.py
+++ b/selfdrive/modeld/dmonitoringmodeld.py
@@ -1,13 +1,13 @@
 #!/usr/bin/env python3
 import os
 from openpilot.system.hardware import TICI
+from tinygrad.tensor import Tensor
+from tinygrad.dtype import dtypes
 if TICI:
-  from tinygrad.tensor import Tensor
-  from tinygrad.dtype import dtypes
   from openpilot.selfdrive.modeld.runners.tinygrad_helpers import qcom_tensor_from_opencl_address
   os.environ['QCOM'] = '1'
 else:
-  from openpilot.selfdrive.modeld.runners.ort_helpers import make_onnx_cpu_runner
+  os.environ['LLVM'] = '1'
 import math
 import time
 import pickle
@@ -34,7 +34,6 @@ OUTPUT_SIZE = 84 + FEATURE_LEN
 
 PROCESS_NAME = "selfdrive.modeld.dmonitoringmodeld"
 SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
-MODEL_PATH = Path(__file__).parent / 'models/dmonitoring_model.onnx'
 MODEL_PKL_PATH = Path(__file__).parent / 'models/dmonitoring_model_tinygrad.pkl'
 
 
@@ -78,12 +77,9 @@ class ModelState:
       'calib': np.zeros((1, CALIB_LEN), dtype=np.float32),
     }
 
-    if TICI:
-      self.tensor_inputs = {k: Tensor(v, device='NPY').realize() for k,v in self.numpy_inputs.items()}
-      with open(MODEL_PKL_PATH, "rb") as f:
-        self.model_run = pickle.load(f)
-    else:
-      self.onnx_cpu_runner = make_onnx_cpu_runner(MODEL_PATH)
+    self.tensor_inputs = {k: Tensor(v, device='NPY').realize() for k,v in self.numpy_inputs.items()}
+    with open(MODEL_PKL_PATH, "rb") as f:
+      self.model_run = pickle.load(f)
 
   def run(self, buf: VisionBuf, calib: np.ndarray, transform: np.ndarray) -> tuple[np.ndarray, float]:
     self.numpy_inputs['calib'][0,:] = calib
@@ -96,12 +92,10 @@ class ModelState:
       if 'input_img' not in self.tensor_inputs:
         self.tensor_inputs['input_img'] = qcom_tensor_from_opencl_address(input_img_cl.mem_address, (1, MODEL_WIDTH*MODEL_HEIGHT), dtype=dtypes.uint8)
     else:
-      self.numpy_inputs['input_img'] = self.frame.buffer_from_cl(input_img_cl).reshape((1, MODEL_WIDTH*MODEL_HEIGHT))
+      self.tensor_inputs['input_img'] = Tensor(self.frame.buffer_from_cl(input_img_cl).reshape((1, MODEL_WIDTH*MODEL_HEIGHT)), dtype=dtypes.uint8).realize()
 
-    if TICI:
-      output = self.model_run(**self.tensor_inputs).numpy().flatten()
-    else:
-      output = self.onnx_cpu_runner.run(None, self.numpy_inputs)[0].flatten()
+
+    output = self.model_run(**self.tensor_inputs).numpy().flatten()
 
     t2 = time.perf_counter()
     return output, t2 - t1
diff --git a/selfdrive/modeld/modeld.py b/selfdrive/modeld/modeld.py
index 82a2ef1597..7a3c7288b0 100755
--- a/selfdrive/modeld/modeld.py
+++ b/selfdrive/modeld/modeld.py
@@ -1,15 +1,13 @@
 #!/usr/bin/env python3
 import os
 from openpilot.system.hardware import TICI
-
-#
+from tinygrad.tensor import Tensor
+from tinygrad.dtype import dtypes
 if TICI:
-  from tinygrad.tensor import Tensor
-  from tinygrad.dtype import dtypes
   from openpilot.selfdrive.modeld.runners.tinygrad_helpers import qcom_tensor_from_opencl_address
   os.environ['QCOM'] = '1'
 else:
-  from openpilot.selfdrive.modeld.runners.ort_helpers import make_onnx_cpu_runner
+  os.environ['LLVM'] = '1'
 import time
 import pickle
 import numpy as np
@@ -37,7 +35,6 @@ from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame,
 PROCESS_NAME = "selfdrive.modeld.modeld"
 SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
 
-MODEL_PATH = Path(__file__).parent / 'models/supercombo.onnx'
 MODEL_PKL_PATH = Path(__file__).parent / 'models/supercombo_tinygrad.pkl'
 METADATA_PATH = Path(__file__).parent / 'models/supercombo_metadata.pkl'
 
@@ -78,12 +75,9 @@ class ModelState:
     self.output = np.zeros(net_output_size, dtype=np.float32)
     self.parser = Parser()
 
-    if TICI:
-      self.tensor_inputs = {k: Tensor(v, device='NPY').realize() for k,v in self.numpy_inputs.items()}
-      with open(MODEL_PKL_PATH, "rb") as f:
-        self.model_run = pickle.load(f)
-    else:
-      self.onnx_cpu_runner = make_onnx_cpu_runner(MODEL_PATH)
+    self.tensor_inputs = {k: Tensor(v, device='NPY').realize() for k,v in self.numpy_inputs.items()}
+    with open(MODEL_PKL_PATH, "rb") as f:
+      self.model_run = pickle.load(f)
 
   def slice_outputs(self, model_outputs: np.ndarray) -> dict[str, np.ndarray]:
     parsed_model_outputs = {k: model_outputs[np.newaxis, v] for k,v in self.output_slices.items()}
@@ -113,15 +107,14 @@ class ModelState:
           self.tensor_inputs[key] = qcom_tensor_from_opencl_address(imgs_cl[key].mem_address, self.input_shapes[key], dtype=dtypes.uint8)
     else:
       for key in imgs_cl:
-        self.numpy_inputs[key] = self.frames[key].buffer_from_cl(imgs_cl[key]).reshape(self.input_shapes[key]).astype(dtype=np.float32)
+        self.numpy_inputs[key] = self.frames[key].buffer_from_cl(imgs_cl[key]).reshape(self.input_shapes[key])
+        self.tensor_inputs[key] = Tensor(self.numpy_inputs[key], dtype=dtypes.uint8).realize()
+
 
     if prepare_only:
       return None
 
-    if TICI:
-      self.output = self.model_run(**self.tensor_inputs).numpy().flatten()
-    else:
-      self.output = self.onnx_cpu_runner.run(None, self.numpy_inputs)[0].flatten()
+    self.output = self.model_run(**self.tensor_inputs).numpy().flatten()
 
     outputs = self.parser.parse_outputs(self.slice_outputs(self.output))
 
diff --git a/selfdrive/modeld/runners/ort_helpers.py b/selfdrive/modeld/runners/ort_helpers.py
deleted file mode 100644
index 26afb03562..0000000000
--- a/selfdrive/modeld/runners/ort_helpers.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import onnx
-import onnxruntime as ort
-import numpy as np
-import itertools
-
-ORT_TYPES_TO_NP_TYPES = {'tensor(float16)': np.float16, 'tensor(float)': np.float32, 'tensor(uint8)': np.uint8}
-
-def attributeproto_fp16_to_fp32(attr):
-  float32_list = np.frombuffer(attr.raw_data, dtype=np.float16)
-  attr.data_type = 1
-  attr.raw_data = float32_list.astype(np.float32).tobytes()
-
-def convert_fp16_to_fp32(model):
-  for i in model.graph.initializer:
-    if i.data_type == 10:
-      attributeproto_fp16_to_fp32(i)
-  for i in itertools.chain(model.graph.input, model.graph.output):
-    if i.type.tensor_type.elem_type == 10:
-      i.type.tensor_type.elem_type = 1
-  for i in model.graph.node:
-    if i.op_type == 'Cast' and i.attribute[0].i == 10:
-      i.attribute[0].i = 1
-    for a in i.attribute:
-      if hasattr(a, 't'):
-        if a.t.data_type == 10:
-          attributeproto_fp16_to_fp32(a.t)
-  return model.SerializeToString()
-
-
-def make_onnx_cpu_runner(model_path):
-  options = ort.SessionOptions()
-  options.intra_op_num_threads = 4
-  options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
-  options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
-  model_data = convert_fp16_to_fp32(onnx.load(model_path))
-  return ort.InferenceSession(model_data,  options, providers=['CPUExecutionProvider'])
diff --git a/tinygrad_repo b/tinygrad_repo
index 2619a86d2a..2fd82f61e0 160000
--- a/tinygrad_repo
+++ b/tinygrad_repo
@@ -1 +1 @@
-Subproject commit 2619a86d2a6157c12cc9b1773b4a03cf968a1309
+Subproject commit 2fd82f61e0378485762d5cd0a6fd376fc8fc356c
diff --git a/uv.lock b/uv.lock
index cb5bcbed3c..f2e5a9f632 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,13 +1,12 @@
 version = 1
-revision = 1
 requires-python = ">=3.11, <3.13"
 resolution-markers = [
-    "python_full_version >= '3.12' and sys_platform == 'darwin'",
-    "python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version < '3.12' and sys_platform == 'darwin'",
-    "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version < '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.12' and platform_system == 'Darwin'",
+    "python_full_version < '3.12' and platform_machine == 'aarch64' and platform_system == 'Linux'",
+    "(python_full_version < '3.12' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version < '3.12' and platform_system != 'Darwin' and platform_system != 'Linux')",
+    "python_full_version >= '3.12' and platform_system == 'Darwin'",
+    "python_full_version >= '3.12' and platform_machine == 'aarch64' and platform_system == 'Linux'",
+    "(python_full_version >= '3.12' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.12' and platform_system != 'Darwin' and platform_system != 'Linux')",
 ]
 
 [[package]]
@@ -298,7 +297,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "platform_system == 'Windows'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -332,18 +331,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
 ]
 
-[[package]]
-name = "coloredlogs"
-version = "15.0.1"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "humanfriendly" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/cc/c7/eed8f27100517e8c0e6b923d5f0845d0cb99763da6fdee00478f91db7325/coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0", size = 278520 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/a7/06/3d6badcf13db419e25b07041d9c7b4a2c331d3f4e7134445ec5df57714cd/coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934", size = 46018 },
-]
-
 [[package]]
 name = "contourpy"
 version = "1.3.1"
@@ -535,15 +522,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/89/ec/00d68c4ddfedfe64159999e5f8a98fb8442729a63e2077eb9dcd89623d27/filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338", size = 16164 },
 ]
 
-[[package]]
-name = "flatbuffers"
-version = "25.2.10"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e4/30/eb5dce7994fc71a2f685d98ec33cc660c0a5887db5610137e60d8cbc4489/flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e", size = 22170 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051", size = 30953 },
-]
-
 [[package]]
 name = "fonttools"
 version = "4.56.0"
@@ -652,28 +630,16 @@ name = "gymnasium"
 version = "1.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "cloudpickle" },
-    { name = "farama-notifications" },
-    { name = "numpy" },
-    { name = "typing-extensions" },
+    { name = "cloudpickle", marker = "platform_machine != 'aarch64' or platform_system != 'Linux'" },
+    { name = "farama-notifications", marker = "platform_machine != 'aarch64' or platform_system != 'Linux'" },
+    { name = "numpy", marker = "platform_machine != 'aarch64' or platform_system != 'Linux'" },
+    { name = "typing-extensions", marker = "platform_machine != 'aarch64' or platform_system != 'Linux'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/4e/12/1047b8fdbfcdce74022048d916e844ad7e6e1114d81d26a7aed657e3a76d/gymnasium-1.0.0.tar.gz", hash = "sha256:9d2b66f30c1b34fe3c2ce7fae65ecf365d0e9982d2b3d860235e773328a3b403", size = 821389 }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/de/85/f5039ce2df5f0789ff1240f08a59f3e8c92e4c5f99543b7aad7388532f7c/gymnasium-1.0.0-py3-none-any.whl", hash = "sha256:b6f40e1e24c5bd419361e1a5b86a9117d2499baecc3a660d44dfff4c465393ad", size = 958120 },
 ]
 
-[[package]]
-name = "humanfriendly"
-version = "10.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "pyreadline3", marker = "sys_platform == 'win32'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/cc/3f/2c29224acb2e2df4d2046e4c73ee2662023c58ff5b113c4c1adac0886c43/humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc", size = 360702 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/f0/0f/310fb31e39e2d734ccaa2c0fb981ee41f7bd5056ce9bc29b2248bd569169/humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477", size = 86794 },
-]
-
 [[package]]
 name = "hypothesis"
 version = "6.47.5"
@@ -802,6 +768,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f9/82/8bcadf2794fa2d39ec100a4f3945db58c316d55c1a0e79ac2cf81c754282/libusb1-3.2.0-py3-none-win_amd64.whl", hash = "sha256:b13acc618263348c91bc4476fadada47be98b7924d6f60e79e3f1da67ac39ddc", size = 139410 },
 ]
 
+[[package]]
+name = "llvmlite"
+version = "0.44.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/89/6a/95a3d3610d5c75293d5dbbb2a76480d5d4eeba641557b69fe90af6c5b84e/llvmlite-0.44.0.tar.gz", hash = "sha256:07667d66a5d150abed9157ab6c0b9393c9356f229784a4385c02f99e94fc94d4", size = 171880 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b5/e2/86b245397052386595ad726f9742e5223d7aea999b18c518a50e96c3aca4/llvmlite-0.44.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3", size = 28132305 },
+    { url = "https://files.pythonhosted.org/packages/ff/ec/506902dc6870249fbe2466d9cf66d531265d0f3a1157213c8f986250c033/llvmlite-0.44.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ace564d9fa44bb91eb6e6d8e7754977783c68e90a471ea7ce913bff30bd62427", size = 26201090 },
+    { url = "https://files.pythonhosted.org/packages/99/fe/d030f1849ebb1f394bb3f7adad5e729b634fb100515594aca25c354ffc62/llvmlite-0.44.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5d22c3bfc842668168a786af4205ec8e3ad29fb1bc03fd11fd48460d0df64c1", size = 42361858 },
+    { url = "https://files.pythonhosted.org/packages/d7/7a/ce6174664b9077fc673d172e4c888cb0b128e707e306bc33fff8c2035f0d/llvmlite-0.44.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610", size = 41184200 },
+    { url = "https://files.pythonhosted.org/packages/5f/c6/258801143975a6d09a373f2641237992496e15567b907a4d401839d671b8/llvmlite-0.44.0-cp311-cp311-win_amd64.whl", hash = "sha256:d8489634d43c20cd0ad71330dde1d5bc7b9966937a263ff1ec1cebb90dc50955", size = 30331193 },
+    { url = "https://files.pythonhosted.org/packages/15/86/e3c3195b92e6e492458f16d233e58a1a812aa2bfbef9bdd0fbafcec85c60/llvmlite-0.44.0-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:1d671a56acf725bf1b531d5ef76b86660a5ab8ef19bb6a46064a705c6ca80aad", size = 28132297 },
+    { url = "https://files.pythonhosted.org/packages/d6/53/373b6b8be67b9221d12b24125fd0ec56b1078b660eeae266ec388a6ac9a0/llvmlite-0.44.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5f79a728e0435493611c9f405168682bb75ffd1fbe6fc360733b850c80a026db", size = 26201105 },
+    { url = "https://files.pythonhosted.org/packages/cb/da/8341fd3056419441286c8e26bf436923021005ece0bff5f41906476ae514/llvmlite-0.44.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0143a5ef336da14deaa8ec26c5449ad5b6a2b564df82fcef4be040b9cacfea9", size = 42361901 },
+    { url = "https://files.pythonhosted.org/packages/53/ad/d79349dc07b8a395a99153d7ce8b01d6fcdc9f8231355a5df55ded649b61/llvmlite-0.44.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d752f89e31b66db6f8da06df8b39f9b91e78c5feea1bf9e8c1fba1d1c24c065d", size = 41184247 },
+    { url = "https://files.pythonhosted.org/packages/e2/3b/a9a17366af80127bd09decbe2a54d8974b6d8b274b39bf47fbaedeec6307/llvmlite-0.44.0-cp312-cp312-win_amd64.whl", hash = "sha256:eae7e2d4ca8f88f89d315b48c6b741dcb925d6a1042da694aa16ab3dd4cbd3a1", size = 30332380 },
+]
+
 [[package]]
 name = "lru-dict"
 version = "1.3.0"
@@ -960,22 +944,22 @@ name = "metadrive-simulator"
 version = "0.4.2.4"
 source = { url = "https://github.com/commaai/metadrive/releases/download/MetaDrive-minimal-0.4.2.4/metadrive_simulator-0.4.2.4-py3-none-any.whl" }
 dependencies = [
-    { name = "filelock" },
-    { name = "gymnasium" },
-    { name = "lxml" },
-    { name = "matplotlib" },
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