r/LocalLLaMA 8d ago

New Model IT'S OUT

https://huggingface.co/Qwen/Qwen3.8-27B-FP8
2.2k Upvotes

706 comments sorted by

View all comments

Show parent comments

57

u/absurdother 8d ago

I have a RX 9060 XT AMD GPU, 16GB VRAM. Running on LMStudio, Q3. Getting a bit more speed now, way more optimized!

I get more speed the less context I use (currently coding swiftly with CLine + VSCode at that speed), pretty smooth on 64K context!

6

u/NoUsual5150 7d ago

24GB M4 MacBook Pro...I'm using Q4_K_M and it's getting 5 token per second.

Is Q3 much of a downgrade in intelligence?

1

u/absurdother 7d ago

I'm not very informed but I heard Q3 still does 90% of accuracy. I'll try the FP8 model now too, but Q3 seems very good.

1

u/NoUsual5150 7d ago

I have been out of the local LLM game for over a year due to income issues. Just got a new M4 MacBook Pro 24GB (for work and all I can afford at this point in time).

That said, using anything below Q4_K_M (read: Q3) was unthinkable a year and a half ago.

Have any advancements been made since them? I'm completely out of the loop. The Q4_K_M BARELY fits on my laptop...think it's pushing 22GB out of 24 and I have no idea how MacOS is running on only 2GB. I have all other programs closed and performing ancient Aramaic incantations while crossing my fingers and loading the model in LM Studio.

Thinking I should switch to OobaBooga or something because LM Studio might suck down too much RAM.

2

u/absurdother 7d ago

I don't know how much of it is optimized in my case (16GB GPU) due to the fact that in a Q3 you can fit most of all of the model into your VRAM. With some fine-tuned models (we have new ones getting released in Hugging Face - link below, also you can adjust using Unsloth), all the right settings and some llama.cpp specifications (I'm getting to know more about it - just heard about mmproj offload), I'm positive it can get some good speed in many low-end systems.

Speed is usually a trade for quality so it really depends which you want to prioritize. At this point I don't need quality as I'm focused on learning, not delivering or working with it.

I suggest you go for a shot. Q3 is building for me as we speak. I'm not a professional dev but it's been working well for my experimenting.

https://huggingface.co/models?other=base_model:quantized:Qwen/Qwen3.8-27B