diff --git a/test/external/external_model_benchmark.py b/test/external/external_model_benchmark.py
index 1342e88551..b070bc019b 100644
--- a/test/external/external_model_benchmark.py
+++ b/test/external/external_model_benchmark.py
@@ -18,8 +18,7 @@ MODELS = {
   # "openpilot": "https://github.com/commaai/openpilot/raw/v0.9.4/selfdrive/modeld/models/supercombo.onnx",
   "efficientnet": "https://github.com/onnx/models/raw/main/vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.onnx",
   "shufflenet": "https://github.com/onnx/models/raw/main/vision/classification/shufflenet/model/shufflenet-9.onnx",
-  # cannot download the model from github
-  # "commavq": "https://github.com/commaai/commavq/raw/master/models/gpt2m.onnx",
+  "commavq": "https://huggingface.co/commaai/commavq-gpt2m/resolve/main/gpt2m.onnx",
 
   # broken in torch MPS
   #"zfnet": "https://github.com/onnx/models/raw/main/vision/classification/zfnet-512/model/zfnet512-9.onnx",
@@ -101,7 +100,7 @@ def benchmark_model(m, validate_outs=False):
     del ort_sess
 
   if validate_outs:
-    rtol, atol = 8e-4, 8e-4  # tolerance for fp16 models
+    rtol, atol = 2e-3, 2e-3  # tolerance for fp16 models
     inputs = {k:Tensor(inp) for k,inp in np_inputs.items()}
     tinygrad_model = get_run_onnx(onnx_model)
     tinygrad_out = tinygrad_model(inputs)