Mintplex-Labs/anything-llm
1
0
Fork 0
mirror of https://github.com/Mintplex-Labs/anything-llm.git synced 2026-07-19 22:23:50 -04:00
Code Issues 328 Packages Projects Releases 10 Wiki Activity

[GH-ISSUE #3573] [BUG]: fresh desktop 1.7.8 install on Windows 11. Unable to pull tag or NVIDIA NIM (error importing model - Cannot read properties of undefined (reading 'split')) #2307

New Issue
Closed
opened 2026-02-22 18:29:06 -05:00 by yindo · 7 comments
yindo commented 2026-02-22 18:29:06 -05:00
Owner
Copy Link
Copy Source

Originally created by @Cyril-Cf on GitHub (Apr 1, 2025).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/3573

How are you running AnythingLLM?

Docker (local)

What happened?

I just fresh installed the app this morning on a rebooted windows 11 and got all the dependencies required (Nvidia AI Workbench, WSL2, docker compose). The app is running fine, however when I try to select any tag for Nvidia NIM I get error importing model - Cannot read properties of undefined (reading 'split'), which seems like a TS/JS error.

I tried to uninstall, clean my folders, reinstall everything more than once, but got stuck at the same step every time.

Did anyone else have the same issue? Or any idea how to solve that?

Image

Are there known steps to reproduce?

No response

Originally created by @Cyril-Cf on GitHub (Apr 1, 2025). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/3573 ### How are you running AnythingLLM? Docker (local) ### What happened? I just fresh installed the app this morning on a rebooted windows 11 and got all the dependencies required (Nvidia AI Workbench, WSL2, docker compose). The app is running fine, however when I try to select any tag for Nvidia NIM I get error importing model - Cannot read properties of undefined (reading 'split'), which seems like a TS/JS error. I tried to uninstall, clean my folders, reinstall everything more than once, but got stuck at the same step every time. Did anyone else have the same issue? Or any idea how to solve that? ![Image](https://github.com/user-attachments/assets/f86c13d2-61f9-466f-8084-6502261c5d0c) ### Are there known steps to reproduce? _No response_
yindo added the possible bugDesktopOS: Windows labels 2026-02-22 18:29:06 -05:00
yindo closed this issue 2026-02-22 18:29:06 -05:00
yindo commented 2026-02-22 18:29:06 -05:00
Author
Owner
Copy Link
Copy Source

@timothycarambat commented on GitHub (Apr 1, 2025):

In this case, can you please proceed past this screen (just use any other LLM) and then retry this in the LLM preference screen post-onboarding?

@timothycarambat commented on GitHub (Apr 1, 2025): In this case, can you please proceed past this screen (just use any other LLM) and then retry this in the LLM preference screen post-onboarding?
yindo commented 2026-02-22 18:29:06 -05:00
Author
Owner
Copy Link
Copy Source

@Cyril-Cf commented on GitHub (Apr 1, 2025):

Thanks for the quick reply. I followed your advice, chose another LLM, created a workspace then from the settings tried to switch to Nvidia NIM but same issue unfortunately :(

Image

@Cyril-Cf commented on GitHub (Apr 1, 2025): Thanks for the quick reply. I followed your advice, chose another LLM, created a workspace then from the settings tried to switch to Nvidia NIM but same issue unfortunately :( ![Image](https://github.com/user-attachments/assets/c62de023-b286-4fb7-8d77-169f48b32b64)
yindo commented 2026-02-22 18:29:06 -05:00
Author
Owner
Copy Link
Copy Source

@timothycarambat commented on GitHub (Apr 1, 2025):

Not that screen, click on the wrench icon on the sidebar > LLM Preference - should look like this.

Im on a Mac right now so my screen will have different options than yours.
Image

@timothycarambat commented on GitHub (Apr 1, 2025): Not that screen, click on the wrench icon on the sidebar > LLM Preference - should look like this. Im on a Mac right now so my screen will have different options than yours. <img width="1466" alt="Image" src="https://github.com/user-attachments/assets/bc362e74-377a-4536-8b74-32889030d719" />
yindo commented 2026-02-22 18:29:06 -05:00
Author
Owner
Copy Link
Copy Source

@Cyril-Cf commented on GitHub (Apr 1, 2025):

Oh I see, but it's the same situation there :(

Image

@Cyril-Cf commented on GitHub (Apr 1, 2025): Oh I see, but it's the same situation there :( ![Image](https://github.com/user-attachments/assets/04e07a33-0a9a-4624-aa62-c9e3d71d2954)
yindo commented 2026-02-22 18:29:06 -05:00
Author
Owner
Copy Link
Copy Source

@timothycarambat commented on GitHub (Apr 1, 2025):

Okay, so I belive this issue has to do with WSL then

you mention the following:

and got all the dependencies required (Nvidia AI Workbench, WSL2, docker compose)

This is very likely is what is breaking everything. Did you install each of these things separately - we pre-packed an installer from NVIDIA that does it all for you as well as sets up the correct type of WSL container. The installer will already install workbench, enabled WSL2 if needed, and make the WSL container that is required with podman inside of it!

My bet is that when we peek into the wsl NVIDIA-Workbench container we see something very wrong and that is causing issues downstream. Can I ask where you got information to install these deps separately? There is no need to and that is very likely breaking the integration here as from what I understand from NVIDIA - the installer is quite specific.

If you run wsl -l and see an NVIDIA-Workbench container you should wsl --unregister NVIDIA-Workbench since that container likely does not have podman in it already. Then you will see the blue modal on that screen again to run the installer pre-packaged into AnythingLLM, which will run NVIDIA's official NIM installer.

Is this the case? This is the only place an error like this could originate from at first glance.

@timothycarambat commented on GitHub (Apr 1, 2025): Okay, so I belive this issue has to do with WSL then you mention the following: > and got all the dependencies required (Nvidia AI Workbench, WSL2, docker compose) This is very likely is what is breaking everything. Did you install _each of these_ things separately - we pre-packed an installer from NVIDIA that does it all for you as well as sets up the _correct_ type of WSL container. The installer will already install workbench, enabled WSL2 if needed, and make the WSL container that is required _with podman inside of it!_ My bet is that when we peek into the wsl `NVIDIA-Workbench` container we see something very wrong and that is causing issues downstream. Can I ask where you got information to install these deps separately? There is no need to and that is very likely breaking the integration here as from what I understand from NVIDIA - the installer is quite specific. If you run `wsl -l` and see an `NVIDIA-Workbench` container you should `wsl --unregister NVIDIA-Workbench` since that container likely does not have podman in it already. Then you will see the blue modal on that screen again to run the installer pre-packaged into AnythingLLM, which will run NVIDIA's official NIM installer. Is this the case? This is the only place an error like this could originate from at first glance.
yindo commented 2026-02-22 18:29:06 -05:00
Author
Owner
Copy Link
Copy Source

@Cyril-Cf commented on GitHub (Apr 1, 2025):

You had the right idea, I unregistered through WSL, restarted the process this time using the pre-packaged installer (and not things separately), I got further! Many thx!

@Cyril-Cf commented on GitHub (Apr 1, 2025): You had the right idea, I unregistered through WSL, restarted the process this time using the pre-packaged installer (and not things separately), I got further! Many thx!
yindo commented 2026-02-22 18:29:06 -05:00
Author
Owner
Copy Link
Copy Source

@timothycarambat commented on GitHub (Apr 1, 2025):

In case you run into anything else - it might be solved here:
https://docs.anythingllm.com/nvidia-nims/walkthrough

@timothycarambat commented on GitHub (Apr 1, 2025): In case you run into anything else - it might be solved here: https://docs.anythingllm.com/nvidia-nims/walkthrough
yindo changed title from [BUG]: fresh desktop 1.7.8 install on Windows 11. Unable to pull tag or NVIDIA NIM (error importing model - Cannot read properties of undefined (reading 'split')) to [GH-ISSUE #3573] [BUG]: fresh desktop 1.7.8 install on Windows 11. Unable to pull tag or NVIDIA NIM (error importing model - Cannot read properties of undefined (reading 'split')) 2026-06-05 14:45:47 -04:00
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
Desktop
Docker
Integration Request
Integration Request
OS: Linux
OS: Mobile
OS: Windows
UI/UX
blocked
bug
bug
core-team-only
documentation
duplicate
embed-widget
enhancement
feature request
github_actions
good first issue
investigating
needs info / can't replicate
possible bug
pull-request
Mirrored from GitHub Pull Request
 question
stage: specifications
wontfix
No Label Desktop OS: Windows possible bug
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
yindo
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: Mintplex-Labs/anything-llm#2307
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?