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hoyyeva/anthropic-local-image-path
dhiltgen/ci
dhiltgen/llama-runner
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Reference: github-starred/ollama#35200
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Originally created by @winstonma on GitHub (Mar 2, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/14550
What is the issue?
I tried to run
qwen3.5:0.8bon AMD Ryzen AI 360 (with 880M iGPU). When I start the model I got the following error:I am using ollama-vulkan on cachyos. I works on either ollama-rocm or ollama (CPU version).
Relevant log output
Click to expand
OS
Linux
GPU
AMD
CPU
AMD
Ollama version
0.17.5
@rick-github commented on GitHub (Mar 2, 2026):
Does setting
OLLAMA_CONTEXT_LENGTH=4096stop the model from crashing?@ssoriche commented on GitHub (Mar 2, 2026):
Setting the context length did not stop it from crashing for me.
@rick-github commented on GitHub (Mar 2, 2026):
@ssoriche Do you have the same crashdump? Server logs will aid in debugging.
@ssoriche commented on GitHub (Mar 2, 2026):
@rick-github they looked the same but I'm adding them here in case I've missed something (very likely):
@rick-github commented on GitHub (Mar 2, 2026):
OLLAMA_CONTEXT_LENGTHmust be set in the server environment.@winstonma commented on GitHub (Mar 2, 2026):
This is the systemctl start message with
OLLAMA_CONTEXT_LENGTHis set to 4096And the result:
@rick-github commented on GitHub (Mar 2, 2026):
Full log.
@ssoriche commented on GitHub (Mar 2, 2026):
@rick-github sorry, I missed an
exportin my startup script, I've added it now and reattached the full log:@winstonma commented on GitHub (Mar 2, 2026):
@rick-github it seems I got problem on
qwen3-coder-next:latesttoo. Here is the log (the context size is 32768):Click to expand
@esmorun commented on GitHub (Mar 4, 2026):
Same issue with Qwen3.5:4b on RX6600 on CachyOS:
@mohamed-mehany commented on GitHub (Mar 4, 2026):
Same SIGSEGV failure with Qwen3.5 on RX 9070 XT and CachyOS, ROCm works though
@rjmalagon commented on GitHub (Mar 26, 2026):
Hi, Vukan runtime crashes on me only when the vision part is working. Text-only works well.
(Radeon Vega GPU from a Ryzen 2200 APU, no current ROCm support, works surprisingly well with Vulkan)
@mowley-bob commented on GitHub (Mar 29, 2026):
I don't know if another stack trace will help, I'm getting this (Hardware AMD 7600XT)
@rick-github commented on GitHub (Mar 29, 2026):
The stack trace alone is not super helpful. If you can include the log prior to the crash so that device detection, layer allocation etc can be seen, that will provide context for interpreting the stack trace. A useful log starts from the
server configline, shows device detection, a model load, the crash report and the full stack trace. Preferably withOLLAMA_DEBUG=2but that can generate a large log, so at leastOLLAMA_DEBUG=1@ingluisjimenez commented on GitHub (Mar 29, 2026):
@rick-github here is my output, I am running through the same issue with qwen3.5:0.8b
@mowley-bob commented on GitHub (Mar 29, 2026):
Hope that this one is more useful?
qwen3.5:8b-crash.log
@mowley-bob commented on GitHub (Mar 29, 2026):
I've updated my container image to the latest version and the bug has gone.. Sorry I don't think of this first, I'm relatively new to running containers...
@rick-github commented on GitHub (Mar 29, 2026):
So upgraded from 0.17.2 to 0.18.3?
@rjmalagon commented on GitHub (Apr 3, 2026):
With a little help from passing the extended debug to Claude Sonnet 4.6, I found out that with (somewhat) large models, the vision part hits AMDGPU lockup timeout reset (default to 10s).
I increased this timeout to 120s (lockup_timeout=120000) and the Vulkan runtime is no longer killed by the AMDGPU Linux driver on busy larger models.
I don't know if this helps other slower iGPUs from other architectures/chipsets, but it is good to know this behavior with Vulkan runtime.
@mowley-bob commented on GitHub (Apr 3, 2026):
ollama version is 0.19.0-rc0