

Here’s the result by Qwen3.8-27b Q8 for “Create an SVG of an Iguana.”:

For your image with “Create an SVG of an Iguana based on the provided image.”:

(Using llama.cpp with Opencode)


Here’s the result by Qwen3.8-27b Q8 for “Create an SVG of an Iguana.”:

For your image with “Create an SVG of an Iguana based on the provided image.”:

(Using llama.cpp with Opencode)


What was your prompt for the iguana?


In what sense? Fennec feels identical to any other Android browser for me…


I use Fennec from F-Droid, a Firefox fork.


God of War, Horizon and Spiderman are all on PC already.


Astro Bot and Demon’s Souls Remake. That is it.


Milka chocolate the same
Same, but mostly because they went from 100g to 98g to 95g to 90g, those greedy fucks.
What do you think makes the combat system of Divinity 2 better? I usually hear the opposite.


Damn, how many tries did that take and how high was your adrenaline level during that playthrough?


What did you flash on your Kobo?


How old are your kids? Prusa Core One kits are very fun and educational to build and you save some money by getting the kit over the pre-built.
They are also built in the EU, very reliable and servicable. More expensive than the Chinese counterparts but they make up for it with good support, parts availability and open source software. Their hardware is mostly open but not entirely anymore sadly.
Curious about the quant tho.
Q8 from unsloth.
Something like Qwen3.5-122b
My go to model for knowledge. Definitely much faster at Q5 but it lacks the tool calling quality of the Qwen3.6 models. Really hoping we see a Qwen3.6-122b soon…
About 200 t/s prompt processing and 10-20 t/s with MTP.
Greatly depends on the task, predictable things like code generates at 18-20 t/s. Creative writing more like 10-17 t/s.
Yes, I got a Strix Halo machine before the RAM price hike and use it to run all my ML stuff on it.
Currently using llama-swap with llama.cpp/ComfyUI and opencode/Open WebUI as frontend.
I’m running Qwen3.6-27b, Voxtral Mini 4b, Piper and Qwen Image. Also, some embedding and reranking models.
I use them for:
So excited for Bigscreen. Might just finally replace my Kodi setup.


It does? Guess I can finally yeet Chromium from my machine then.
If you have trouble with outgoing mails, you can use a hybrid approach.
Receive mails directly to your server but use a mail service to relay your outgoing mails. Configuration for that is very simple in mailcow and there are a few dozen (free) transactional email providers (e.g. Scaleway).
That way you can keep receiving your mails privately and only have to give up some privacy when sending mails.


According to their now deleted Reddit account, it will use a custom Proton build on Intel and Zen 4 CPUs. For every other CPU you will need a kernel module.


Plasma Bigscreen is scheduled for its first release next month: https://plasma-bigscreen.org/
Good for him!