I’ve been running LM Studio on Bazzite and I had to do nothing to get it working. Just go to the LM Studio website and download the .appimage for Linux. If you open it with Gear Lever it will install like an app from the app store and show up in your launcher with an icon.
From there I have just been able to download models and use them from in the app. In fact I setup a local server to connect to my IDE and have been trying out local models for coding. It’s pretty cool
I can also vouch for lmstudio. If you can get Hermes running on Linux I would suggest trying that as well. It connects to lm studio and you use Hermes to communicate with the model. Iook into it as there’s a lot to it, I’ve really been enjoying using it so far it even learns how I like to create tasks and I’ve stopped having to ask it to delegate certain tasks, it just knows to do it and to break down the tasks so my fairly context starved local model can handle it.
As for a model, the Qwen 3.6 family of models do really well. I’d suggest the Qwen 3.6 35B a3b probably Q4 depending on your hardware. It’s large, but because it’s a mixture of experts model only 3b of experts are kept on vram at any one time so it stays fast. Qwen 3.6 27b is the smarter “dense” model, but trying to stay with Q4 for quality it becomes too large for 16GB vram and for me runs at like 2 tokens per second lol
Well that sucks. I was really impressed as a novice to open weight LLMs with the ease of use for Ollama on Bazzite.
I’ve been running LM Studio on Bazzite and I had to do nothing to get it working. Just go to the LM Studio website and download the
.appimagefor Linux. If you open it with Gear Lever it will install like an app from the app store and show up in your launcher with an icon.From there I have just been able to download models and use them from in the app. In fact I setup a local server to connect to my IDE and have been trying out local models for coding. It’s pretty cool
Awesome! I’ll give it a try.
I can also vouch for lmstudio. If you can get Hermes running on Linux I would suggest trying that as well. It connects to lm studio and you use Hermes to communicate with the model. Iook into it as there’s a lot to it, I’ve really been enjoying using it so far it even learns how I like to create tasks and I’ve stopped having to ask it to delegate certain tasks, it just knows to do it and to break down the tasks so my fairly context starved local model can handle it.
As for a model, the Qwen 3.6 family of models do really well. I’d suggest the Qwen 3.6 35B a3b probably Q4 depending on your hardware. It’s large, but because it’s a mixture of experts model only 3b of experts are kept on vram at any one time so it stays fast. Qwen 3.6 27b is the smarter “dense” model, but trying to stay with Q4 for quality it becomes too large for 16GB vram and for me runs at like 2 tokens per second lol