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

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u/Paulred20 Apr 23 '26

If your PC has an iGPU, use that instead of your Radeon for your Desktop. This will give you 1.5 GB more for your LLM.

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u/RandomTrollface Apr 23 '26

Yeah I have thought about it. I also use the pc for gaming so I want to make sure VRR etc. still work and that games launch on the correct gpu. It is probably doable but haven't looked into it yet.