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[GH-ISSUE #3769] An existing connection was forcibly closed by the remote host.Could you help me? #28086
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opened 2026-04-22 05:53:49 -05:00 by GiteaMirror
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Reference: github-starred/ollama#28086
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Originally created by @risingnew on GitHub (Apr 20, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/3769
What is the issue?
PS C:\Users\Administrator\AppData\Local\Ollama> ollama run llama3

pulling manifest
Error: pull model manifest: Get "https://ollama.com/token?nonce=1AKxIvoajv-NPGYukzWJcA&scope=repository%!A(MISSING)library%!F(MISSING)llama3%!A(MISSING)pull&service=ollama.com&ts=1713578711": read tcp 192.168.124.11:53463->34.120.132.20:443: wsarecv: An existing connection was forcibly closed by the remote host.
(https://github.com/ollama/ollama/files/15046570/server.log)
OS
Windows
GPU
Nvidia
CPU
Intel
Ollama version
No response
@igorschlum commented on GitHub (Apr 20, 2024):
Hi @risingnew can you tell us What version of Ollama you are using?
@risingnew commented on GitHub (Apr 20, 2024):
the latest vision 0.1.32
@risingnew commented on GitHub (Apr 20, 2024):
Thankyou for helping
@risingnew commented on GitHub (Apr 20, 2024):
Latest version 0.1.32,Thankyou
@igorschlum commented on GitHub (Apr 20, 2024):
@risingnew I'm not on Windows, so I cannot reproduce Windows Issues. Did you try to load another model? Do you see same Issue?
In which country are you? Are at a home internet access or at a company internet access?
@risingnew commented on GitHub (Apr 20, 2024):
Thank you. Do you mean the network problem is the cause of this problem? The same error occurred when I loaded the other models
@risingnew commented on GitHub (Apr 20, 2024):
@igorschlum Is there any way to manually download the LLAMA3 model? And manually start him.
@igorschlum commented on GitHub (Apr 22, 2024):
you can ask someone who successfully download it to copy it for you.
@Miameister commented on GitHub (Apr 22, 2024):
i have the same problem, have you solved this? Thankyou for helping
@Saydoudou commented on GitHub (Apr 25, 2024):
same problem +1,have you solved it? @risingnew Thankyou for helping
@igorschlum commented on GitHub (Apr 25, 2024):
There is an interesting other topic where someone is asking to limit the number of LLM that can be downloaded directly from Ollama to prevent the use of non free LLM's.
I think that Ollama should propose to download manually LLM's and allow the app to load LLMs from a file. Let see what the team will do on this.
@Miameister commented on GitHub (Apr 25, 2024):
I`ve already solved it. At first I opened my vpn and tried a lot of time, it didnt work. but when i closed my vpn and repeated the command for many times it started to download. Maybe you can change your network and ping more times
@Saydoudou commented on GitHub (Apr 26, 2024):
The problem has been solved. Clash turns on tun mode, rule mode and system agent.
@igorschlum commented on GitHub (Apr 26, 2024):
@risingnew do you use a VPN? Do you still have the issue?
@Saydoudou commented on GitHub (Apr 28, 2024):
ref: https://github.com/microsoft/WSL/releases/tag/2.0.0
@Saydoudou commented on GitHub (Apr 28, 2024):
@ALiftTime commented on GitHub (Apr 28, 2024):
I used the above method to install WSL, but still cannot use it
@wtrendong commented on GitHub (Apr 29, 2024):
The same problem also troubled me for several days. Inspired by Saydoudou's reply content, I turned on the network accelerator's
'global proxy'<全局代理> or called netcard mode<网卡模式>, in order to completely open the terminal's proxy function, and the model downloaded quickly. Thank you Saydoudou, thank you all.
@Saydoudou commented on GitHub (Apr 30, 2024):
It is recommended to change to win10 system.My computer at the company uses win11 system, but I still get errors frequently. The computer at home uses the win10 Pro system, and no error problems have been found.

@dhiltgen commented on GitHub (May 2, 2024):
This looks like a dup of #3504
@vobear commented on GitHub (Jul 25, 2024):
Clash打开Tun模式,可能需要1-2分钟重试ollama run qwen2即可。
@mgks commented on GitHub (Jul 29, 2024):
not the same.
@Panican-Whyasker commented on GitHub (Jan 30, 2025):
Hello all,
Just got a similar error while the model (deepseek-r1:671b) was in the middle of answering my question.
Windows Server 2016 here on a NUMA machine with 4 Xeons.
@Inakito commented on GitHub (Jan 31, 2025):
same here when loading deepseek r1 on windows 11.
@Set27 commented on GitHub (Feb 11, 2025):
+1
@Inakito commented on GitHub (Feb 11, 2025):
if you keep insisting it eventually finishes the load (i tried four times at different moments: morning, evening, night..)
@Panican-Whyasker commented on GitHub (Feb 11, 2025):
Well, it eventually worked without error, once. When I asked my next question, its narrative was broken by the same error.
@Panican-Whyasker commented on GitHub (Feb 14, 2025):
Okay, it seems that I have found the cause for this error. See here:
https://github.com/ollama/ollama/issues/8074#issuecomment-2658648380
By default, Ollama sets the parameter num_ctx to just 2048 (max. tokens in a LLM's output).
If your LLM ouotputs more that 2048 tokens, it will crash.
I ran successfully DeepSeek-R1 (671B) a few times but the output was always below 2048 tokens.
WARNING: They say that a model sized at 404 GB would require ~600 GB of free system RAM in order to run with a num_ctx set at 4048.
With Ollama 0.5.1, the model takes slightly more RAM than usual (~460 GB).
@Panican-Whyasker commented on GitHub (Feb 20, 2025):
This time, deepseek-r1:671b crashed with an error almost immediately, without being able to yield any output.
Right after setting 'num_thread' to '36' and 'num_ctx' to '16384' and entering my prompt, I got:
Error: llama runner process has terminated: exit status 2
Ollama was updated to version 0.5.11 before that and I re-launched the Windows PowerShell.
Things are getting worse. :(
@mcDandy commented on GitHub (Mar 16, 2025):
I have the same issue with gemma3 and ollama 0.6.1
@chenbridge commented on GitHub (Apr 6, 2025):
I have the same issue with ollama 0.6.4
@igorschlum commented on GitHub (Apr 6, 2025):
deepseek-r1:671b needs 671GB of Vram a big big big computer. Do you have that? If not choose a smaller deepseek LLM.
@zhiyang12345 commented on GitHub (Apr 27, 2025):
do you resolve this bug?i meet this bug also
@redsun1988 commented on GitHub (Apr 30, 2025):
The issue is still here.
Any help is greatly appreciated.
My ollama version is:
I run it on Windows 11 Pro.
Here is the error message:
No issue to download models. I have this error practically everywhere. Working with tiny deepseek-r1:1.5b or requesting embeddings for paraphrase-multilingual. Yesterday morning it worked just fine and suddenly had started to throw this error.
Tried to reinstall ollama and redownload models.
Here is the part of my server.txt
@arkimium commented on GitHub (May 2, 2025):
Here now is also appeared in Windows 21H2 with AMD Radeon RX 5500, with version 0.6.7.
the error is the same as above:
my fully server log:
it's all done while pulling
gemma3:4b, but just cannot run and interact with it. So what's that means with the msgkey not found?@anton-karlovskiy commented on GitHub (Sep 16, 2025):
@risingnew
👋 I’ve been trying to download llama3.2 on Windows 11 (ollama run llama3.2) and keep running into issues:
What I’ve tried so far:
From what I can tell, the main culprit seems to be an unstable connection. The workaround right now is to just re-run the command until it eventually completes, but this gets tedious.
To automate retries, I wrapped it in a small script. Sharing here in case it helps others or the devs want to consider integrating retry logic directly:
Windows
Open new notepad and put this code.
Next go to save as… and pick All files as file type and name the file with
.batextension.And finally you can run it.
To edit the code above, just change model name from
llama3.2to any other model you like.Linux
I didn’t test the code for Linux but this should hopefully work.
#!/bin/bash
Save this as
run_loop.shthen run these commands.Re: https://medium.com/@timnirmal/ollama-max-retries-exceeded-error-de6e0f86383e
Good luck 🤞
@sudo-Ram commented on GitHub (Oct 19, 2025):
改host文件