Inference
AWQ vs GPTQ vs GGUF right now: worth it? - Printable Version

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AWQ vs GPTQ vs GGUF right now: worth it? - cudaline - 10-17-2026

Did a bit of testing and thought I'd post the result here.

Short version: LM Studio behaved well for me, but only after I stopped ignoring workstation thermals.

Happy to post more details if anyone wants them.


Re: AWQ vs GPTQ vs GGUF right now: worth it? - vrambandit - 10-18-2026

That matches what I was seeing. That matches what I saw on GB200. The biggest change for me was simplifying the stack instead of adding one more optimization layer.


Re: AWQ vs GPTQ vs GGUF right now: worth it? - stackpilot - 10-18-2026

What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at continuous batching. Not glamorous advice, but repeatable baselines save a lot of time.


Re: AWQ vs GPTQ vs GGUF right now: worth it? - cudaworks - 10-18-2026

My first guess would be this: On GB200, the easiest win is often to back off the aggressive settings and see whether the problem survives. Not glamorous advice, but repeatable baselines save a lot of time.


Re: AWQ vs GPTQ vs GGUF right now: worth it? - benchplease - 10-19-2026

Quote:Appreciate the detail. The pattern around prefill/decode split has been pretty similar for me. I got better results once I stopped chasing one metric

What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there.


Re: AWQ vs GPTQ vs GGUF right now: worth it? - vrambandit - 10-19-2026

worth checking the driver first.


Re: AWQ vs GPTQ vs GGUF right now: worth it? - northquill - 10-19-2026

Appreciate the detail. The pattern around prefill/decode split has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.