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From a total noob: Are you using strix halo?
(lemmy.zip)
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this post was submitted on 28 Aug 2026
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You don't need to worry about the split in strix halo, it runs a unified memory architecture so Linux will dynamically allocate VRAM on demand up to maximum possible (which would be around 120GB I think)
I'm on an nvidia system so can't answer the rest of your questions other than to say that in my experience ollama gave me a much worse tokens per second speed compared to running the same model using llama.cpp, so if you get something slower than you expect it might be ollama caused.
Good luck with your £250 system 😉
that being said, most apps won't recognize the unified memory because because the Strix Halo is so new, so if you want accurate reporting of GPU usage, you have to set a specific amount. otherwise it will probably report 100% usage of 512M VRAM in apps like btop.
That's what I assumed it would do. Tried running an 80gb model and it barfed saying it was 'out of memory'. The LLM I consulted said it was because it needs to load the model into system RAM first then pass it to VRAM (It was set at the default 96GB RAM/32GB VRAM).
I know. Bargain, right? 🥴