Couldn’t find any working combination for JetPack 6.2. My CUDA version is 12.6, Please help me. Thanks

Hi, You should be able to find our prebuilt for JetPack 6 with the link shared above. Did you meet any issues when installing it? Thanks.

Could I use the command to install on sm_87 AGX Orin? pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124

bumping this post for move visability I also can’t find a working version of any of these packages for the agx orin with jetpack 6.2 pytorch, torch vision, tensorrt-llm, tensorrt-llm edge. All fail to build on this device

These don’t work? https://pypi.jetson-ai-lab.io/jp6/cu126

Hi, Please find the packages for JetPack 6.2 in the link below: jp6/cu126 index Thanks.

I can confirm both the 3.14 wheel and 3.16 wheel for the python llamapythoncpp have the same corruption error as the official llamapythoncpp library. So looking over this, at least with my agx there is no currently supported version that has the correct fix. If the KV cache fills to quickly, then it…

Is this how you installed the package? If not try it. CMAKE_ARGS="-DGGML_CUDA=on" pip install llama-cpp-python

I uninstalled everything and freshly reset all of my libraries. I upgraded to 12.9 cuda, i ran the proper wheel install for that version, and i tried the method you just gave again. Still same problem. [Screenshot from 2026-01-22 00-04-16]

Hi, Sorry for the late update. Could you test if PyTorch can work correctly? If yes, this might be an issue from llamacpp. Thanks.

I can confirm, llamacpp has an issue, but also pytorch is a nightmare to install. I will return to the other llm focused post that covers this in more [image] LLM library recomendations for maximum token speeds Jetson AGX Orin Hi, Please find below how to set…

PyTorch and TorchVision for Jetpack 6.2

Robotics & Edge Computing Jetson Systems Jetson AGX Orin

seanmurp19 February 16, 2026, 8:57pm 16

I can confirm, llamacpp has an issue, but also pytorch is a nightmare to install. I will return to the other llm focused post that covers this in more

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