I have a Strix Halo as well and I have it configured to dynamically allocate everything, so I have run some 100GB+ models as well. The OS itself needs way under a GB without UI so you can get pretty close to the 128GB.
Currently on Fedora, running llama-swap to start the llama.cpp toolboxes by kyuz0, audio.cpp and ComfyUI.
Qwen3.8-27b is my favorite model right now for most things, still playing around with Qwen3.8-Flash-Next but not quite there yet.
Gemma4-31b is also really good with languages and natural writing but I prefer Qwen3.8 for anything programming or logical.
I can only go by what my government tells me but I don't think that's true:
Der Europäische Notruf ist überall in der EU gebührenfrei verfügbar. [...] Die Nummer kann im Notfall selbst bei gesperrtem Mobiltelefon – ohne Netzvertrag, SIM-Card, PIN oder Guthaben – kostenfrei gewählt werden.
Translation:
The European emergency number is available free of charge everywhere in the EU. [...] The number can be dialed free of charge on a locked phone - without contract, SIM, PIN or credit.
Not that I regularily call them but my phone still shows "Emergency calls only" when no SIM is inserted.
You need to use MTP (Multi token prediction) to get acceptable speeds on a Strix Halo. On llama.cpp you just need to add --spec-type draft-mtp --spec-draft-n-max 3 -np 1 to your arguments.
You should see around 15-20 t/s in coding tasks at Q8, which will still be much slower than Qwen3-Coder-Next-UD-Q8 since it's 27b active parameters instead of 3b.
As for Q8 vs BF16, it usually makes barely to no difference in quality. Speed is higher on Q8 though. Still testing with 3.8 since it just released.
Neat, installed it just now and seems to work fine. Now I just need to remember if I already played it on Xbox...
Boost your center channel and/or enable dialogue enhancer.
Won't help with Marvel movies (their mixing sucks ass) but most others.
I have a Strix Halo as well and I have it configured to dynamically allocate everything, so I have run some 100GB+ models as well. The OS itself needs way under a GB without UI so you can get pretty close to the 128GB.
Currently on Fedora, running llama-swap to start the llama.cpp toolboxes by kyuz0, audio.cpp and ComfyUI.
Qwen3.8-27b is my favorite model right now for most things, still playing around with Qwen3.8-Flash-Next but not quite there yet.
Gemma4-31b is also really good with languages and natural writing but I prefer Qwen3.8 for anything programming or logical.
No, but something "medium sized" is scheduled for next week. No idea if they are talking about another 122b or 397b.
I can only go by what my government tells me but I don't think that's true:
Translation:
Not that I regularily call them but my phone still shows "Emergency calls only" when no SIM is inserted.
Source: https://www.bundeskanzleramt.gv.at/themen/europa-aktuell/2026/02/europaeischer-notruf-112.html
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)
Sounds like Anubis is working then? :D
Yep, IMEI was what I meant!
Interesting, maybe a thing for the next test?
I assume they get some sort of identifier/metadata in emergency calls (IMSI?) in case no SIM is available?
Awesome! Did you test this without a SIM inserted as well?
How does the test work? Do you give them their number or do they just allocate you in a slot where they think not much is going on anyway?
Really cool that they are doing this.
What was your prompt for the iguana?
Awesome, did anyone test the VoLTE on a Fairphone 5 already?
I have a spare one laying around that I would love to get fully working with postmarketOS.
Yes, only a real issue if you want to watch or encode videos.
Also, no video encoder/decoder which was what killed it for me.
In what sense? Fennec feels identical to any other Android browser for me...
I use Fennec from F-Droid, a Firefox fork.
Yes, 27b is going to produce much better results.
You need to use MTP (Multi token prediction) to get acceptable speeds on a Strix Halo. On llama.cpp you just need to add
--spec-type draft-mtp --spec-draft-n-max 3 -np 1to your arguments.You should see around 15-20 t/s in coding tasks at Q8, which will still be much slower than Qwen3-Coder-Next-UD-Q8 since it's 27b active parameters instead of 3b.
As for Q8 vs BF16, it usually makes barely to no difference in quality. Speed is higher on Q8 though. Still testing with 3.8 since it just released.
27b fits easily into 128 unified RAM, even unquantized. So something was definitely wrong.
Running 3.8-27b on my Strix Halo box right now.
Multi Material Unit