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Originally created by @dhiltgen on GitHub (Feb 19, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/2598
Originally assigned to: @dhiltgen on GitHub.
Users with Radeon cards would like to be able to take advantage of the new native windows app and not have to resort to WSL2 to get support for their AMD GPUs.
@zhiyuan1i commented on GitHub (Feb 21, 2024):
Could you please consider users who have other cards that support DirectX 12?
Some Intel, Qualcomm, and Chinese graphics card manufacturers often support DirectX 12, which can be utilized to accelerate computations for large models. May I ask if you have considered incorporating this functionality into the Windows client?
Thank you!
@DK013 commented on GitHub (Feb 24, 2024):
As @uniartisan suggested, we would all love a backend that leverages DirectX 12 on windows machines, since it's widely available with almost all GPUs with windows drivers. and to be honest the list of ROCm supported cards are not that much. I'm sure this will take some time IF the team goes down this route.
However, here's a good news. recently AMD pulled out their support from the ZLUDA project and since then the author made the project source code available in Github. ZLUDA lets you run unmodified CUDA applications with near-native performance on AMD GPUs. Seems like the author was working on Intel GPU support as well but in last build he removed that.
Anyway, I tried ollama windows with zluda on my RX 5700XT, and the outcome was amazing !!
it's still not near as fast as the inference speed on my macbook pro, but it's much much faster than CPU inference on a windows pc with AMD cards. There're still a few caveats for different hardware scenarios but mostly it works.
So, anyone looking for a quick workaround may find this very helpful until further official support arrives for DIrectX 12.
#2529
@ipfans commented on GitHub (Feb 29, 2024):
It seems like still fallback to CPU when I run ollam powered by zluda:
after I run
ollama run mistral:Hardware: AMD Radeon RX 5950 XT
Updated: It seems affected by I previous installed nv drivers. After uninstall all nv softwares/drivers, the error messages changed:
@Inokinoki commented on GitHub (Feb 29, 2024):
I'm facing the similar issue.
AFAIK, there is a recent change explicitly detect the cuda compatibility. However, the operation to get cuda compatibility is not yet implemented by zluda, which fails the GPU detection.
I remove the code for compute compatibility detection and build locally, it works fine.
@ipfans commented on GitHub (Feb 29, 2024):
@Inokinoki Thanks for you explanation. Could you also share the file/line that we can change?
@Inokinoki commented on GitHub (Feb 29, 2024):
It's basically here:
076237b8ea/gpu/gpu_info_cuda.c (L199)I by-passed this by manually setting major to 5 and minor to 0, which is the lowest required version.
In ZLUDA,
nvmlDeviceGetCudaComputeCapabilityis not implemented:af0216b1a0/zluda_ml/src/nvml.rs (L2871)@shanoaice commented on GitHub (Mar 4, 2024):
I have noticed that AMD GPU does not actually have support on WSL2 (ROCm and clinfo cannot detect any capable device), and Windows currently lacks a ROCm v6 release, so does it mean that we still need to wait?
Also, I have installed Nvidia CUDA SDK on my machine, but during compilation GPU offloading doesn't seem to be enabled, and I didn't see any instruction in the document, what should I do?
@dhiltgen commented on GitHub (Mar 5, 2024):
@shanoaice PR #2885 leverages ROCm v5.7 which is the latest version available on windows at the moment. We're still testing to validate the change, but the hope is to roll this into an upcoming release soon.
@shanoaice commented on GitHub (Mar 6, 2024):
@dhiltgen Thanks, tried to build from #2885 and succeed. Only problem is that I got a RX 6600M, and it is
gfx1032instead of the officially supportedgfx1030. ROCm will refrain from using my GPU if I directly run ollama server. If I setHSA_OVERRIDE_GFX_VERSIONto10.3.0like on Linux, I get the following error:Full Log
If I then try to copy
gfx1030files in the ROCm directory and rename them togfx1032, I got another error:Full Log
@dhiltgen commented on GitHub (Mar 6, 2024):
@shanoaice with PR #2885 I'm changing around how we do ROCm discovery on linux in addition to adding windows support for Radeon GPUs. I'm not sure why it's not respecting the
HSA_OVERRIDE_GFX_VERSIONsetting and still looking up the wrong tensile file. I'm hoping to get that PR merged soon and once we get a pre-release cut including it, I'll ask folks on this and a few other tickets to give it a try on their systems.@ravarcade commented on GitHub (Mar 7, 2024):
@dhiltgen Thanks a lot for this!
I just tested your build on my 7800XT.
@ipfans commented on GitHub (Mar 9, 2024):
Thanks a lot for your works. I just tried https://github.com/dhiltgen/ollama/releases for rocm support, but I found it will be failed when using mixtral model. Here is a log for this panic:
@dhiltgen commented on GitHub (Mar 11, 2024):
The pre-release for 0.1.29 is live and ready for broader testing.
Windows users can install the OllamaSetup.exe from the 0.1.29 release page which includes ROCm v5.7 (latest at this time.)
We've updated our troubleshooting docs to include some pointers on Radeon GPU compatibility.
Please let us know if you run into any problems with the pre-release (on this issue, or open a new issue)
@sgwhat commented on GitHub (Mar 19, 2024):
Have you fixed it?
@dhiltgen commented on GitHub (Mar 20, 2024):
@sgwhat please upgrade to 0.1.29 and if you're still seeing this crash, please go ahead and open a new issue so we can get to the bottom of why it's crashing for you.
@likelovewant commented on GitHub (Mar 27, 2024):
zluda.exe -- %UserProfile%/AppData/Local/Programs/Ollama/ollama.exe serve
@Inokinoki
I manuly send the data as you suggest ,like this , replace the content from line 199 with "
build and succuess ,
start :
zluda.exe -- %UserProfile%/AppData/Local/Programs/Ollama/ollama.exe serve
and start models by " zluda.exe -- %UserProfile%/AppData/Local/Programs/Ollama/ollama.exe run llama2
"
I got following response
it's seems the gpu not load . any idea why ? or how you did set the code