September 18th, 2023:Nomic Vulkan launches supporting local LLM inference on NVIDIA and AMD GPUs.
Problem: In GPT4All, under Settings > Application Settings > Device, I've selected my AMD graphics card, but I'm seeing no improvement over CPU performance. In both cases (AMD graphics card or CPU), it crawls along at about 4-5 tokens per second. The interaction in the screenshot below took 174 seconds to generate the response.
Question: Do I have to use a specific model to benefit from this advancement? Do I need to install a different AMD driver? What steps can I take to troubleshoot this?
Sorry if this is an obvious question. Sometimes I feel like the answer is right in front of me, but I'm unsure of which key words from the documentation should jump out at me.
I wonder why ROCm 6.4 doesn't support you, but ROCm 6.3 does. Maybe there is a way to downgrade. Also that override_gfx environment variable may be enough to get 6.4 working for you. Not sure though.
I'd say an easy route (if it works lol) would be using dnf to install ROCm, and then use LM studio's installer to get the rest.
I wonder why ROCm 6.4 doesn’t support you, but ROCm 6.3 does.
Wait, where are you reading that 6.3 supports the 6950 XT? I dug up the System Requirements (Linux) page for 6.3 and it lists the same cards as the 6.4 page. Is there another document out there that covers this topic?
So given this extra bit of research it looks like you may be able to run ROCm on a 6950XT but I'm not sure about a 6750XT.
From my experience ROCm supports more than they say they do. They say they support the cards they've tested, but other's still may work. I was running ROCm on my 7900 XTX before they officially supported it.