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Originally created by @Jordi577 on GitHub (Feb 11, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/9014
What is the issue?
After updating to v0.5.8 I receive the error
level=ERROR source=sched.go:455 msg="error loading llama server" error="llama runner process has terminated: exit status 2"
Relevant log output
OS
Windows
GPU
Nvidia
CPU
AMD
Ollama version
v0.5.8
@rick-github commented on GitHub (Feb 11, 2025):
What CPU (model, not brand) do you have? https://github.com/ollama/ollama/pull/8976 fixed issues for some CPUs that don't support
iq4nlt, perhaps it's a similar issue with your CPU.@Jordi577 commented on GitHub (Feb 11, 2025):
AMD Ryzen 9 7950X
@rick-github commented on GitHub (Feb 11, 2025):
OK, not an old CPU and seems have the required CPU extensions.
@jmorganca commented on GitHub (Feb 11, 2025):
Thanks for the issue. Possible to run ollama serve with OLLAMA_DEBUG=1 set ? This will help track down the crash
@jmorganca commented on GitHub (Feb 11, 2025):
Also, may I ask which NVIDIA driver version you have installed?
@dhiltgen commented on GitHub (Feb 11, 2025):
In addition to the server logs, @Jordi577 have you made any changes to your BIOS configuration from default settings for the CPU or GPU?
@Jordi577 commented on GitHub (Feb 11, 2025):
@dhiltgen, I've disabled the integrated GPU (iGPU) on my 7950x and enabled AVX512 in the BIOS settings. Additionally, I've activated Eco 125W mode and enabled Expo for my RAM.
@jmorganca, the current version is 572.16.
Not sure where to look at after setting OLLAMA_DEBUG=1, but here are the logs
app.log
server.log
@dhiltgen commented on GitHub (Feb 11, 2025):
AVX512 is a collection of CPU features, so this might be where things are going bad. Until we can figure out the root cause, you can try disabling AVX512, or if there are other related CPU features, enable all of them. (in particular, AVX512VBMI and AVX512VNNI)
@dhiltgen commented on GitHub (Feb 11, 2025):
We haven't managed to reproduce the crash on a system with a Ryzen 9 7900X CPU. Our BIOS doesn't seem to have configurable settings for AVX512 though, and the "ggml-cpu-icelake" backend loads correctly.
One other possible scenario is stale binaries from a prior RC. @Jordi577 how did you install the build, and did you have a prior RC installed before that? If so, can you try removing all traces of the old RC and install 0.5.8 again and see if that works?
@Jordi577 commented on GitHub (Feb 11, 2025):
Hi, I had previously installed version 0.5.7. I downloaded the .exe file and selected "Close Running Instances." After encountering the error, I uninstalled all instances of Ollama and performed a clean installation of version 0.5.8 with system reboot, but the error persists. Could it be that some traces of the previous installation remain? Would you mind guiding me on how to completely remove them?
@dhiltgen commented on GitHub (Feb 11, 2025):
If you used the Installer executable without overriding any paths, the binaries should all be located in
~\AppData\Local\Programs\Ollama\From what you describe, you should have a clean setup, but just to rule out leaking binaries, uninstall Ollama, verify that folder no longer exists (if it does, remove it) then re-install 0.5.8.
Assuming that does not fix the problem, removing (or renaming)
~\AppData\Local\Programs\Ollama\lib\ollama\ggml-cpu-icelake.dllwill confirm our current assumption that the crash is somehow related to rogue AVX512 instructions when attempting to load that library.@Jordi577 commented on GitHub (Feb 11, 2025):
Hi, I've made sure that the binaries are removed, however it did not work. Deleting the .dll yields no result either.
server.log
app.log
@dhiltgen commented on GitHub (Feb 11, 2025):
Interesting. So our theory about AVX512 might be incorrect.
It looks like it's trying to load dynamic libraries from
C:\Windows\system32\config\systemprofile\AppData\Local\Microsoft\WindowsAppsCan you check that directory and see what's there? Is it possible there's another inference tool installed on your system that uses llama.cpp/GGML components? If there's anything in there that looks like
ggml-*.dllthat may be the root cause.@Jordi577 commented on GitHub (Feb 11, 2025):
Nope, no ggml-*.dll is there.
@dhiltgen commented on GitHub (Feb 11, 2025):
Our current code searches your PATH, so it's possible there might be some other problem that causing an unhandled exception we need to harden for. Another experiment to try is reduce down the PATH to the ollama server and see if it starts working properly. Based on the logs, I think this should be the minimal necessary to run:
@jmorganca commented on GitHub (Feb 12, 2025):
Hi @Jordi577 does this issue still occur in the 0.5.9 prerelease? https://github.com/ollama/ollama/releases/tag/v0.5.9-rc0
@Jordi577 commented on GitHub (Feb 12, 2025):
@jmorganca Good morning, it's fixed.
@creasyWinds commented on GitHub (Feb 12, 2025):
haha me too,it's fine now with 0.5.9