# MX3 support for Yolo-v11-nano-pose

**URL:** <https://community.memryx.com/t/mx3-support-for-yolo-v11-nano-pose/136>\
**Category:** Technical Support\
**Created:** [November 6, 2025, 9:55pm UTC](https://community.memryx.com/t/mx3-support-for-yolo-v11-nano-pose/136 "2025-11-06T21:55:57Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![paspf](https://avatars.discourse-cdn.com/v4/letter/p/e8c25b/32.png) [@paspf](https://community.memryx.com/u/paspf)\
**Post date:** [November 6, 2025, 9:55pm UTC](https://community.memryx.com/t/mx3-support-for-yolo-v11-nano-pose/136/1 "2025-11-06T21:55:58Z")

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Hi memryX-Team,

I want to use the Yolo-v11-nano-pose on the MX3. When converting the model I’m getting the error:

> Converting Model : (Done)  
> memryx.errors.OperatorError: Matmul (‘/model.10/m/m.0/attn/MatMul’) with axes=[3, 2] is not supported. Using autocrop (–autocrop) might help.

Activating autocrop results in the same error.

I tried simplify=True when exporting to onnx from pytorch, without any success.

I exported the Yolo model to onnx using Ultrylytics 8.3.225, i’m using compiler version 2.1.0.

Additionally I am facing a similar error when converting the classification model, which is listed as supported in the model explorer.

Could you provide me guidance on how to resolve these issues (should i use a specific version?) and are there any plans in adding support for the Yolo-v11-nano-pose model?

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**Author:** ![shashi](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.memryx.com/shashi/32/27_2.png) [@shashi](https://community.memryx.com/u/shashi)\
**Post date:** [November 7, 2025, 5:03am UTC](https://community.memryx.com/t/mx3-support-for-yolo-v11-nano-pose/136/2 "2025-11-07T05:03:13Z")

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Hi @paspf

Maybe the required extension is missing. Did you follow the instructions at: [Neural Compiler Extensions — MemryX Developer Hub](https://developer.memryx.com/tutorials/how_to/nc_extensions.html)?

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**Author:** ![paspf](https://avatars.discourse-cdn.com/v4/letter/p/e8c25b/32.png) [@paspf](https://community.memryx.com/u/paspf)\
**Post date:** [November 7, 2025, 6:25am UTC](https://community.memryx.com/t/mx3-support-for-yolo-v11-nano-pose/136/3 "2025-11-07T06:25:59Z")

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Hi @shashi,

i was not aware of the extension flag, its compiling with:

> mx\_nc -m yolo11n-pose.onnx --extensions Yolov10 --autocrop

Thank you!

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**Author:** ![sureshvairamuthu](https://avatars.discourse-cdn.com/v4/letter/s/e99b99/32.png) [@sureshvairamuthu](https://community.memryx.com/u/sureshvairamuthu)\
**Post date:** [November 13, 2025, 7:46pm UTC](https://community.memryx.com/t/mx3-support-for-yolo-v11-nano-pose/136/4 "2025-11-13T19:46:24Z")

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Thank you! @shashi and @paspf

Yes — YOLOv11 models are supported out of the box, and you can compile them using our Neural Compiler Extensions.

We also have MXA-optimized YOLOv11 models available in our [Model eXplorer](https://developer.memryx.com/model_explorer/models.html), If you’re curious, definitely take a look at the [MXA-optimized Yolov11 nano pose 640](https://developer.memryx.com/model_explorer/2p1/YOLO_v11_nano_pose_MXA_Optimized_640_640_3_onnx.zip).