Getting Keycloak and Headscale working together.
But I did it after three weeks.
I captured my efforts in a set of interdependent Ansible roles so I never have to do it again.
Getting Keycloak and Headscale working together.
But I did it after three weeks.
I captured my efforts in a set of interdependent Ansible roles so I never have to do it again.
It would be extremely barebones, but you can do something like this with Pandoc.
That I agree with. Microsoft drafted the recommendation to use it for local networks, and Apple ignored it or co-opted it for mDNS.
Macs aren’t the only thing that use mDNS, either. I have a host monitoring solution that I wrote that uses it.
Yeah, that’s why I started using .lan.
I was using .local, but it ran into too many conflicts with an mDNS service I host and vice versa. I switched to .lan, but I’m certainly not going to switch to .internal unless another conflict surfaces.
I’ve also developed a host-monitoring solution that uses mDNS, so I’m not about to break my own software. 😅
Coincidentally, I just found this other thread that mentions EasyEffects: https://programming.dev/post/17612973
You might be able to use a virtual device to get it working for your use case.
I consider it a big deal. I’m clicking “Not Now” buttons all day when I just want to use a piece of software for its main purpose. And then because it says “Not Now” I get asked again and again and again.
It depends on the model you run. Mistral, Gemma, or Phi are great for a majority of devices, even with CPU or integrated graphics inference.
Show me a music store I can purchase music from on my phone through an app, and I’ll purchase it.
I’m also going to push forward Tilda, which has been my preferred one for a while due to how minimal the UI is.
They added a video player with version 3, I think.
Now the question is - are they open sourcing the original Winamp, or the awful replacement?
We all mess up! I hope that helps - let me know if you see improvements!
I think there was a special process to get Nvidia working in WSL. Let me check… (I’m running natively on Linux, so my experience doing it with WSL is limited.)
https://docs.nvidia.com/cuda/wsl-user-guide/index.html - I’m sure you’ve followed this already, but according to this, it looks like you don’t want to install the Nvidia drivers, and only want to install the cuda-toolkit metapackage. I’d follow the instructions from that link closely.
You may also run into performance issues within WSL due to the virtual machine overhead.
Good luck! I’m definitely willing to spend a few minutes offering advice/double checking some configuration settings if things go awry again. Let me know how things go. :-)
It should be split between VRAM and regular RAM, at least if it’s a GGUF model. Maybe it’s not, and that’s what’s wrong?
Ok, so using my “older” 2070 Super, I was able to get a response from a 70B parameter model in 9-12 minutes. (Llama 3 in this case.)
I’m fairly certain that you’re using your CPU or having another issue. Would you like to try and debug your configuration together?
Unfortunately, I don’t expect it to remain free forever.
I’ve had this issue on several Pixel devices - I most recently had this exact issue on my Pixel 6 Pro, but I think recent-ish Firefox updates resolved some of the issues.
In my case, Firefox would lockup, but I could easily switch to another app without an issue. I would have to kill the Firefox app to get it responsive again.