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hoyyeva/anthropic-local-image-path
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Reference: github-starred/ollama#67529
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Originally created by @Jetbuzz on GitHub (Jan 20, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/8495
What is the issue?
I have attached the screenshot to what is happening. I have an Nvidia 980m 4gb. Running latest version of Windows 10 and ollama.
OS
Windows
GPU
Nvidia
CPU
Intel
Ollama version
0.5.7
@Jetbuzz commented on GitHub (Jan 20, 2025):
I tried forcing ollama to use my graphics card but still facing the same issue
@rick-github commented on GitHub (Jan 20, 2025):
Server logs may aid in debugging.
@Jetbuzz commented on GitHub (Jan 20, 2025):
Thank you for your response. Here's the server log
server.log
@rick-github commented on GitHub (Jan 20, 2025):
If you could add the full log that would help, there are lines earlier with information about device detection, environment, etc. It may also help if you add
OLLAMA_DEBUG=1to the server environment for additional debugging.@TungstenWolframite commented on GitHub (Jan 24, 2025):
I am getting the same error. It seems to be triggered when I have a long conversation with a large context size.
Interestingly, even if you start a new conversation by going "/bye" and rerunning the same model, the error persists.
The only way I have found to solve this issue is to stop the model entirely by using "ollama stop" and then rerunning the model.
@rick-github commented on GitHub (Jan 24, 2025):
Server logs may aid in debugging.
@TungstenWolframite commented on GitHub (Feb 3, 2025):
Here is my server log: server.log
The last entry had the repeated "@"
Thanks for your help!
@rick-github commented on GitHub (Feb 3, 2025):
What model?
@rick-github commented on GitHub (Feb 3, 2025):
Found it, https://ollama.com/library/qwen2.5:72b-instruct-q4_K_S
@TungstenWolframite commented on GitHub (Feb 3, 2025):
This happens with multiple other models as well.
E.g., llama3.3:70b-instruct-q8_0, llama3.2:3b-instruct-q4_K_M, deepseek-r1:70b-llama-distill-q8_0, deepseek-r1:70b-llama-distill-q4_K_M, etc.
@rick-github commented on GitHub (Feb 3, 2025):
If it's affecting multiple models of different architectures and different sizes, it may be a hardware issue. #8235 had a similar problem with repeating '@'s, running a GPU VRAM tester revealed a faulty card.
@TungstenWolframite commented on GitHub (Feb 3, 2025):
Hmm, the issue looks the same as #8235, but I just ran the GPU VRAM test and it showed "All tests OK." for both my GPUs.
@rick-github commented on GitHub (Feb 3, 2025):
It's a limited tester, perhaps
OCCTmight reveal more.@TungstenWolframite commented on GitHub (Feb 3, 2025):
Using ollama through CLI does not seem to trigger the issue.
It only occurs when using the server. E.g., Open WebUI, Python's ollama Client
@rick-github commented on GitHub (Feb 3, 2025):
Whihch way do use the CLI:
or
@TungstenWolframite commented on GitHub (Feb 3, 2025):
The latter
@rick-github commented on GitHub (Feb 3, 2025):
The latter uses
/api/chat, the log shows the client used/api/generate. What was the client at that time?Open-webui uses
/api/chatso if you've seen this in open-webui then the endpoint isn't relevant but it's an interesting data point.@TungstenWolframite commented on GitHub (Feb 3, 2025):
I am currently spamming CLI using the first method, and no errors can be reproduced.
For the log, I was using python client.generate
@TungstenWolframite commented on GitHub (Feb 3, 2025):
Here is an image of one of the conversations in Open WebUI that had the issues very quickly. This was using llama3.3:70b-instruct-q8_0:
@rick-github commented on GitHub (Feb 19, 2025):
Some other are reporting the same problem.
#9190, #9225
No resolution as yet.
@TungstenWolframite commented on GitHub (Feb 19, 2025):
Thank you for the update.
I’m not sure if it’s helpful, but all my models are working with vLLM.
@TungstenWolframite commented on GitHub (Feb 27, 2025):
Good news! @rick-github
The issue resolved with the new NVIDIA graphics driver update.
Ollama is back in action for me!
@rick-github commented on GitHub (Feb 27, 2025):
Great! What version of the driver did you upgrade to?
@TungstenWolframite commented on GitHub (Feb 27, 2025):
This is what is stated in Nvidia App:
Driver Version: 572.60
Released: Thu Feb 27, 2025
@TungstenWolframite commented on GitHub (Feb 27, 2025):
My previous driver version was from 19/11/2024.
@Jetbuzz commented on GitHub (Feb 28, 2025):
Just want to update: I tried updating my drivers and it seems that I still
face the @@@@ problem :C
I have given up on running LLMs offline.
On Fri, Feb 28, 2025 at 1:48 AM Jordan @.***> wrote:
@TungstenWolframite commented on GitHub (Mar 3, 2025):
@Jetbuzz Do you have any overclocking or undervolting for your GPU?
@Jetbuzz commented on GitHub (Mar 4, 2025):
Nope, unless my laptop (Alienware 15 R2, GTX 980M) is doing it. I haven't messed with the settings though.