People with low VRAM, I have something for you that won't help.

Reddit r/LocalLLaMA / 3/31/2026

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Key Points

The post offers encouragement to people with low VRAM, arguing that staying informed and using current models can make local AI more feasible than it was two years ago.
It claims that increasing VRAM can improve performance but does not guarantee better results, noting trade-offs like higher “hallucinations” even with more capacity.
The author suggests downloading and running models such as “qwen3.5” locally as a practical workaround for limited hardware.
The post emphasizes community support (r/localllama) as a key resource for troubleshooting and learning around local LLMs.
It frames VRAM as a limiting factor for AI enthusiasts while highlighting uncertainty about longer-term solutions that depend on major companies and available compute.

*hug*

I'm one of your kind. I Struggle like you do but I promise you. If you get more VRAM you'll think you screwed yourself of by not getting more.

VRAM is the new crack for AI enthusiasts. We're screwed because the control falls upon one major company. Whats the answer? I'm not sure but more cat pics seems like a good time passer until we gain more data.

Just remember. More VRAM doesnt instantly mean better results, sometimes it just means higher class hallucinations ;)

Hats off to the wonderful and amazing r/localllama community who constantly help people in need, get into WILD discussions and make the world of AI chit chat pretty god damn amazing for myself. I hope others find the same. Cheers everyone, thanks for teaching me so much and being so great along the way.

Low VRAM? No problem, 2 years ago you couldnt run a damn thing that worked well, now you can download qwen3.5 and have a "genius" running on your own *^$!.

submitted by /u/Uncle___Marty
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