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[GH-ISSUE #13775] [Bug] Persistent Digest Mismatch on Large GGUF Import & Pull (Linux/ROCm/AMD) despite valid file integrity #34787
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opened 2026-04-22 18:38:01 -05:00 by GiteaMirror
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Originally created by @DevLenn on GitHub (Jan 19, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/13775
What is the issue?
System Information
0.14.2/)Description
I am unable to load large GGUF models (specifically
nvidia_Nemotron-Cascade-8B-Thinking-GGUF:Q6_K, approx 6.7GB). The operation fails with adigest mismatcherror during the final verification stage. This happens both when importing a local file (verified via sha256sum) and when pulling directly from HuggingFace via the newollama runsyntax.Steps to Reproduce & Logs
1. Attempt: Local Import via Modelfile
I downloaded the GGUF manually and verified its integrity on disk.
nvidia_Nemotron-Cascade-8B-Thinking-Q6_K.ggufsha256summatches the HuggingFace reference.FROM /home/<USER>/ext_models/nemtron/nvidia_Nemotron-Cascade-8B-Thinking-Q6_K.ggufCommand:
Error Output:
(Note: The "got" hash changes on subsequent attempts, e.g.,
sha256:09e193..., suggesting data corruption during the copy process).2. Attempt: Update & Direct Pull
I upgraded Ollama using the official script (
curl -fsSL https://ollama.com/install.sh | sh) to ensure I am not running legacy code. The update was successful (AMD GPU ready).Command:
Error Output:
Troubleshooting Steps Taken
df -h. Root partition has 312GB free. No storage bottleneck.sha256sumon the manually downloaded GGUF file. The file on disk is correct. The corruption seems to happen when Ollama reads/copies/processes the blob.systemctl stop ollama), removed old binaries, and re-installed via official script.ollamaandrendergroups.Context
It seems like Ollama is corrupting the data stream when writing the blob to its internal storage (
/usr/share/ollama/...) or when verifying it immediately after download. Since the "got" checksum varies, this might be related to a race condition, RAM instability, or an issue with the ROCm/AMD backend handling memory during the import.Relevant log output
OS
Linux
GPU
AMD
CPU
Intel
Ollama version
0.14.2
@rick-github commented on GitHub (Jan 19, 2026):
As far as I can tell, sha256:393399a1 doesn't match any of the files on hf.co/bartowski/nvidia_Nemotron-Cascade-8B-Thinking-GGUF. The Q6_K file is 8a8fd4bd6993, so it seems like the initial sha256 computation is incorrect even before the ollama client copies the file to server storage. Importing the model with
ollama runworks fine on my systems. Does your system log show any memory or disk read errors? Does the error occur for any other models?@DevLenn commented on GitHub (Jan 19, 2026):
@rick-github pulling and using qwen-3vl-2b via 'ollama pull' and 'ollama serve' works fine. disk has no issues, s.m.a.r.t. values are all good. but yeah, you're right, seems to be an issue with the download.
@DevLenn commented on GitHub (Jan 19, 2026):
@rick-github I’m not 100% sure, but I think the SHA256 shown on the Hugging Face page (8a8fd4bd6993…) might actually be for the small Xet pointer file in Git rather than the full 6.7 GB GGUF file. The actual file on disk seems to have a different SHA256 when checked locally.
@rick-github commented on GitHub (Jan 19, 2026):
The sha256 for the 6.7GB GGUF file is 8a8fd4bd6993 as shown in your run command. If the file on disk has a different sha256 then it's been corrupted.
@DevLenn commented on GitHub (Jan 19, 2026):
@rick-github
Dude, i don't know wtf is going on, closed the issue because i genuinely believe it's not an issue with ollama. But i also can't figure out wtf it is:
@rick-github commented on GitHub (Jan 19, 2026):
The
gathering model componentsis the ollama client reading the file to compute the sha256. Since it's wrong (7d80e73ee24 instead of 8a8fd4bd699) it indicates a problem somewhere between the bytes on disk and the output of the bytes fed through the sha256 algorithm in the ollama client. So it may be an interaction of ollama and some aspect of the hardware. What file system is being used? What's the underlying hardware (SSD, NVME, HDD, network, etc)? What's the output oflscpuandlsmem? Doesmemtesterflag anything?@DevLenn commented on GitHub (Jan 19, 2026):
@rick-github
@rick-github commented on GitHub (Jan 19, 2026):
This looks normal. What's the output of:
@DevLenn commented on GitHub (Jan 19, 2026):
@rick-github commented on GitHub (Jan 19, 2026):
Well, it's creating the right sha256 for these dummy files. What happens if you do the following
@DevLenn commented on GitHub (Jan 19, 2026):
okay... wth. shouldn't they be the same?:
@rick-github commented on GitHub (Jan 19, 2026):
Yes they should. Since ollama isn't involved we can rule it out as a problem. It seems like a hardware issue but not sure which bit of hardware, since there are no errors in the logs and
memtesterdidn't show anything. Perhaps runmemtesterover a larger range of memory, it might just be a bad bit in one of the DRAM modules that is used for the page cache. Or installmemtest86+and reboot the machine and do a full memory test.@DevLenn commented on GitHub (Jan 19, 2026):
alr, thx for your help.
@focalfury commented on GitHub (Apr 20, 2026):
Just wanted to comment that I had this exact issue on larger models. Every run on 3 machines on 2 different WAN networks had the issue. Once I switched to the mverrilli branch it immediately worked. I did extensive hardware testing and could find no issue on any machine. I even wrote a small utility that pulled it in single thread mode as opposed to using the ollama run which I think chunks them. Still had the problem.
Hoping to see mverrilli's commit merged.
Thanks all