Huzzah! Qwen Image! Runtime 547s

Was unable to get GLM 4.5 UD in that quant through LM studio, I'll try just llama.cpp instead

edit: Runs fine in llama.cpp, 5.1-5.6 tok/s on CPU, but I can't seem to fit the whole memory on GPU. Still experimenting.

llama-cli --ngl 93 --context 12288 --no-mmap -t 16

12k context seems like the largest I can get (uses 118GB). You can probably push it further without a GUI, but on a desktop environment gnome daemon starts killing processes.

Prompt processing at 12.3t/s, inference at 10.7-11.1 t/s.

I would say this verges on not-usable between the speed and context window. After the thinking tokens are through you've burned a lot of your usable context.

edit: implementing conway's game of life in numpy worked, used 3k/12k context, and took 7minutes.

Edit: image Gen works through comfyui, but is slow. Exact same experience as the video, works as he says. Not rendering text literally halves the compute time, but Qwen Image works.

So I had neglected to download the models. Chalk that up to trying to do this after coming home from the bar.

Qwen image is not working in that toolbox container.

First attempt had bad memory access when trying to merge the model and LoRA, second attempt it kept trying to use CUDA so failed to generate, third attempt it reached 100% of denoising generation but started running into strong GPU lag on the rest of the desktop environment and never produced the image.

Fourth attempt failed to merge LoRA again due to HIP memory errors -- this is after a fresh reboot, so no resource contention.

Rebooted qwen, fifth attempt it does merge LoRA and start generation, but never actually finishes an iteration. For some reason this time it appears to be trying to run on 4 CPUs. This run again in the logs said it was trying CUDA, so... I suspect it's the same failure.

It looks to me like a torch configuration issue.___