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[GH-ISSUE #9357] Intermittent hanging/stalling and "llama runner process no longer running" error on CPU with specific models (Windows 11, Ryzen 5800X, RTX 3060) #68166
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opened 2026-05-04 12:42:34 -05:00 by GiteaMirror
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Originally created by @bluespork on GitHub (Feb 26, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/9357
What is the issue?
I am experiencing an intermittent issue with Ollama on Windows 11 where models running on the CPU either hang/stall mid-response or produce the "llama runner process no longer running" error. This issue does not occur when running on the GPU (Nvidia RTX 3060). I have done extensive troubleshooting (detailed below) and believe this to be a bug within Ollama or llama.cpp.
Expected Behavior:
Ollama should consistently run models on the CPU when the
CUDA_VISIBLE_DEVICES=""environment variable is set, without hanging, stalling, or producing the "llama runner process no longer running" error.Actual Behavior:
mistral:latestmodel fails with "llama runner process no longer running" during the loading phase, before even getting to a prompt.mistral:latestmodel consistently fails with "llama runner process no longer running" immediately upon starting, when forced to run on CPU.deepscaler:1.5b-preview-q4_K_Mmodel sometimes runs to completion on CPU. However, it frequently hangs or stalls mid-response. If I type anything into the prompt after it hangs, it will sometimes continue and complete the response. Other times, it produces the "llama runner process no longer running" error.CUDA_VISIBLE_DEVICES) works flawlessly with all tested models.Steps to Reproduce:
CUDA_VISIBLE_DEVICES=""is set. This has been tested both as a system-wide variable and set per-session in Command Prompt. We have verified usingecho %CUDA_VISIBLE_DEVICES%that the variable is correctly unset when it should be, and set to an empty string when we set it. The system-wide enviroment variable was deleted as well.mistral:latest(consistently fails on versions 0.5.4 and 0.1.32),deepscaler:1.5b-preview-q4_K_M(intermittently hangs/stalls or fails on version 0.5.12).ollama run <model_name> --verbose "list 10 animals who can weight over 1000 pounds"(or any other prompt).mistral:lateston version 0.5.4, multipleollama_llama_server.exeprocesses appear in Task Manager and then disappear, leading to the error.mistral:lateston version 0.1.32, get "llama runner process no longer running".deepscaler:1.5b-preview-q4_K_Mon version 0.5.12, the response may stop mid-sentence. Typing anything in the prompt may cause it to continue, or may result in the "llama runner process no longer running" error.Troubleshooting Steps Taken:
mistral:latest,deepscaler:1.5b-preview-q4_K_M), but not all models.CUDA_VISIBLE_DEVICES=""is correctly set and that Ollama is indeed using the CPU (via Task Manager).OLLAMA_NUM_THREAD(1, 4, 8) – no effect.System Information:
mistral:latest,deepscaler:1.5b-preview-q4_K_MConclusion:
This issue appears to be a bug related to how specific models are handled on the CPU by Ollama (or llama.cpp) on this particular system configuration. The intermittent hanging/stalling with
deepscaler:1.5b-preview-q4_K_Mon version 0.5.12, and the consistent failure withmistral:lateston versions 0.5.4 and 0.1.32, suggest a low-level incompatibility or instability. The different failure modes (hanging vs. crashing) are important clues.Relevant log output
OS
Windows
GPU
Nvidia
CPU
AMD
Ollama version
0.5.12
@rick-github commented on GitHub (Feb 26, 2025):
Server logs may aid in debugging.
OLLAMA_NUM_THREADis not an ollama configuration variable.@bluespork commented on GitHub (Feb 27, 2025):
UPDATE:
I have made a significant discovery that isolates the problem. I physically removed the NVIDIA RTX 3060 GPU from my system and replaced it with an older AMD Radeon R5 430 card that is not supported by Ollama for GPU acceleration.
With the AMD card installed, Ollama runs perfectly on the CPU, without any of the hanging or "llama runner process no longer running" errors. This occurs with all models, including
mistral:latest. I did not need to setCUDA_VISIBLE_DEVICES=""with the AMD card, as Ollama correctly detected that it could not use the GPU.This strongly indicates that the issue is specific to the interaction between Ollama/
llama.cppand either the NVIDIA RTX 3060 hardware or, more likely, the NVIDIA drivers on Windows 11. It is not a general CPU incompatibility, nor is it a fundamental problem with Ollama's ability to run on the CPU.@YonTracks commented on GitHub (Mar 4, 2025):
yes I have a rtx3060 very similar system, and same issue with
CUDA_VISIBLE_DEVICES:-1which is how I use cpu only.seems this will crash ollama (but you would not know as, the model continues the response fine and quick) also reset's the logs and produce orphaned processes also.
0.5.12+-0.5.13
@YonTracks commented on GitHub (Mar 4, 2025):
@YonTracks commented on GitHub (Mar 4, 2025):
@YonTracks commented on GitHub (Mar 4, 2025):
it keeps on crashing so I could capture a log.
will keep crashing untill no more memory.
@YonTracks commented on GitHub (Mar 4, 2025):
testing official now lol.
@YonTracks commented on GitHub (Mar 4, 2025):
official 0.5.13 also is the same, works fine, crashes after.
keeps on crashing same, orphaned processes.
good luck.
@rick-github commented on GitHub (Mar 4, 2025):
cudaErrorNoDevice = 100
This is different to the OP's problem - you have some sort of driver mismatch. Open a new issue.
@YonTracks commented on GitHub (Mar 4, 2025):
ok I will do that.
should I try to test different drivers etc. cheers.
@YonTracks commented on GitHub (Mar 4, 2025):
will comment here also, very very similar issue as not all models and
mistral:latest. I see this error also"llama runner process no longer running" error.this one is a dev build with cmake config, default and for all. and then installed via install script.
and the other is the official, I see the official installs all gpu files. and small changes in behavior for both.
@rick-github commented on GitHub (Mar 4, 2025):
None of the logs you've posted contain "llama runner process no longer running".
@YonTracks commented on GitHub (Mar 4, 2025):
the log, it resets, but when the memory fills up, then the error changes. I will try get it, writing the other issue.
@YonTracks commented on GitHub (Mar 4, 2025):
and 0.5.13 vs 0.5.12 vs dev etc.
@YonTracks commented on GitHub (Mar 4, 2025):
lol this is intermittent, depending on how long you wait, before prompts. always resetting logs but, and getting slower. the error is coming soon.
@YonTracks commented on GitHub (Mar 4, 2025):
ok well a different error this time lol.
>>> what else Error: Post "http://127.0.0.1:11434/api/chat": dial tcp 127.0.0.1:11434: connectex: No connection could be made because the target machine actively refused it. official 0.5.13.I will work out how to word this correct. cheers
@YonTracks commented on GitHub (Mar 5, 2025):
Expected Behavior:
Ollama should consistently run models on the CPU when the CUDA_VISIBLE_DEVICES="" or CUDA_VISIBLE_DEVICES="-1" environment variable is set.
just as
>>> /set parameter num_gpu 0 Set parameter 'num_gpu' to '0'correct does.cheers
@YonTracks commented on GitHub (Mar 5, 2025):
rather I think
CUDA_VISIBLE_DEVICES="-1"only, with the/set parameter num_gpu 0also, else should be default.@rick-github commented on GitHub (Mar 5, 2025):
@bluespork Can you try another experiment. Rather than setting
CUDA_VISIBLE_DEVICES=""to keep the model off the GPU, create a copy of the model withnum_gpu=0:And then run the test:
Based on #9496, it could be that the problem is triggered by the invalid value in
CUDA_VISIBLE_DEVICES.@bluespork commented on GitHub (Mar 10, 2025):
Thank you for your time. The problem was the invalid value in CUDA_VISIBLE_DEVICES.