alt Hacker NewsI just tried with llama.cpp RTX4090 (24GB) GGUF unsloth quant UD_Q4_K_XL You can probably run them all. G4 31B runs at ~5tok/s , G4 26B A4B runs at ~150 tok/s.
You can run Q3.5-35B-A3B at ~100 tok/s.
I tried G4 26B A4B as a drop-in replacement of Q3.5-35B-A3B for some custom agents and G4 doesn't respect the prompt rules at all. (I added <|think|> in the system prompt as described (but have not spend time checking if the reasoning was effectively on). I'll need to investigate further but it doesn't seem promising.
I also tried G4 26B A4B with images in the webui, and it works quite well.
I have not yet tried the smaller models with audio.
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If you are running on 4090 and get 5 t/s, then you exceeded your VRAM and are offloading to the CPU (or there is some other serious perf. issue)
> I'll need to investigate further but it doesn't seem promising.
That's what I meant by "waiting a few days for updates" in my other comment. Qwen 3.5 release, I remember a lot of complaints about: "tool calling isn't working properly" etc.
That was fixed shortly after: there was some template parsing work in llama.cpp. and unsloth pulled out some models and brought back better one for improving something else I can't quite remember, better done Quantization or something...
coder543 pointed out the same is happening regarding tool calling with gemma4: https://news.ycombinator.com/item?id=47619261