Deepstack Error 500 on Jetson Nano 4GB with yolov5 Models

Hi,
so since 2 Days I’m now trying to get one of the Yolov5 Models to work with Deepstack on the Jetson Nano.
The Implementation of the Model itself work’s flawlessly, but uppon excecution of a Scan, Deepstack times out:

DeepStack: Version 2022.01.1
---------------------------------------
v1/vision/custom/yolov5n
/v1/vision/detection
---------------------------------------
---------------------------------------
v1/backup
---------------------------------------
v1/restore
[GIN] 2022/05/13 - 21:42:09 | 500 | 1m0s | 192.168.10.200 | POST /v1/vision/custom/yolov5n

In the Logfile /app/logs/stderr.txt the following Messages appear:

File “/app/intelligencelayer/shared/detection.py”, line 68, in
** detector = YOLODetector(model_path, reso, cuda=CUDA_MODE)**
** File “/app/intelligencelayer/shared/./process.py”, line 31, in init**
** self.model = attempt_load(model_path, map_location=self.device)**
** File “/app/intelligencelayer/shared/./models/experimental.py”, line 158, in attempt_load**
** torch.load(w, map_location=map_location)[“model”].float().fuse().eval()**
** File “/usr/local/lib/python3.6/dist-packages/torch/serialization.py”, line 584, in load**
** return _load(opened_zipfile, map_location, pickle_module, pickle_load_args)
** File “/usr/local/lib/python3.6/dist-packages/torch/serialization.py”, line 842, in _load**
** result = unpickler.load()**
AttributeError: Can’t get attribute ‘SiLU’ on <module ‘torch.nn.modules.activation’ from '/usr/local/lib/python3.6/dist-packages/torch/nn/modules/activation.py

I’ve tried several Versions of JetPack an Deepstack. Every single combination with the same Results.
So am I missing something? Does someone know a solution for this ?
At this Point I’m pretty tired and close to giving up…