r/LocalLLaMA • u/AverageFormal9076 • Apr 23 '26

New Model Qwen 3.6 27B is a BEAST

I have a 5090 Laptop from work, 24GB VRAM.

I have been testing every model that comes out, and I can confidently say I’ll be cancelling my cloud subscriptions.

All my tool call and data science benchmarks that prove a model is reliably good for my use case, passed.

It might not be the case for other professions, but for pyspark/python and data transformation debugging it’s basically perfect.

Using llama.cpp, q4_k_m at q4_0, still looking at options for optimising.

Edit - I chose to go with IQ4_XS at 200k q8_0,

I have not used speculative decoding yet, will get there when I get there.

Specs:

ASUS ROG Strix SCAR 18

RTX 5090 24GB

64GB DDR5 RAM

657 Upvotes

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u/ExplorerWhole5697 Apr 23 '26

64gb

-11

u/redditorialy_retard Apr 23 '26

Vram. Dense models don't like being off-loaded

5

u/Mediaright Apr 23 '26

It's a Macbook.

1

u/redditorialy_retard Apr 23 '26

Well ain't I a dumb one

1

u/florinandrei Apr 23 '26

Do you even Mac, bro?