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[GH-ISSUE #15354] Ollama 0.20.2 unknown model architecture: 'gemma4' with Cuda arch 50 #56336
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opened 2026-04-29 10:39:40 -05:00 by GiteaMirror
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Reference: github-starred/ollama#56336
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Originally created by @S0AndS0 on GitHub (Apr 6, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/15354
Update 2026-04-08
This issue is resolved as a ID10T error, I failed to use Nix configs correctly for overriding package version and hash(es)
Correctly functioning configuration file is
... readers who stumble across this, and need a version different must modify;
version,hash, andvendorHashto mitigate repeating my mistake(s)Following content is OG OP
What is the issue?
Partial NixOS config that may aid in reproducing issue;
Relevant log output
OS
Linux
GPU
Nvidia
CPU
Intel
Ollama version
0.20.2
Notes and updates
I did search about for related issues, hence why for manually updating to version provided via override, but no joy was had
I also tried a flake update for lock file, but that resulted in previously functional models that previously used GPU being restricted to CPU, so that was less than joyful too
@rick-github commented on GitHub (Apr 6, 2026):
What's the output of
Where was the model pulled from?
@YellowOnion commented on GitHub (Apr 6, 2026):
I'm seeing the same issue with rocm and cpu only.
2
then running
./result/bin/ollama,nixpkgs has pushed an update, but I doubt it'll help since the change is basically the same as mine.
./result/bin/ollama -vshows 0.20.2 for me.@rick-github commented on GitHub (Apr 6, 2026):
Server logs will aid in debugging.
@YellowOnion commented on GitHub (Apr 6, 2026):
CPU run: https://gist.github.com/YellowOnion/96ed1eb98878782ebf0fda2b11634922
GPU run: https://gist.github.com/YellowOnion/be694f9f7778d99bbd7cb7841890882d
Does it matter that I'm trying to pull unsloth dynamic quants? I can try with Google variants.
@rick-github commented on GitHub (Apr 6, 2026):
Yes. https://github.com/ollama/ollama/issues/14575#issuecomment-3989918451
@YellowOnion commented on GitHub (Apr 6, 2026):
Ahh okay, yeah it seems to be working with
run gemma4:e4b, I guess I'll have to wait for better quants of 26GB model to work.The logs provided by Op also look similar to mine:
This looks like it's nixpkgs is setup to just call
pull.I don't quite understand how it's pulling in a Q4_K quant, but that would be the root of the issue for OP.
@rick-github commented on GitHub (Apr 6, 2026):
Q4_K_M is the default. The logs indicate that ollama is trying to load the model on the llama.cpp engine rather than the native ollama engine, and fails for the reason explained in the link. The 26B version of the model should work with
ollama run gemma4:26b-a4b-it-q4_K_Mor the shorter aliasollama run gemma4:26b.@S0AndS0 commented on GitHub (Apr 6, 2026):
Is reporting what I expect;
TLDR: it's pulling via
ollama pullso I'd expect it should be doing whateverollamasaysSource-code spelunking details;
5b2c2d8→pkgs/by-name/ol/ollama/package.nixis what defines thepackagethat I'm overriding in order to bump version to what I thought was supported5b2c2d8→nixos/modules/services/misc/ollama.nix→loadModelsis where models are defined5b2c2d8→nixos/modules/services/misc/ollama.nix→systemd.services.ollama-model-loader→scriptis what handles model downloads, specifically via'${parallel}' --tag '${ollama}' pull ::: ${lib.escapeShellArgs cfg.loadModels}Thanks for the link @rick-github!
Logs from running;
ollama run gemma4:e4b@rick-github commented on GitHub (Apr 6, 2026):
It's using the wrong backend. Set
OLLAMA_DEBUG=1in the server environment, restart the server, load the model and post the full log.@S0AndS0 commented on GitHub (Apr 6, 2026):
Latest logs after applying above patch to Nix configs...
@rick-github commented on GitHub (Apr 6, 2026):
Something not making sense. Set
OLLAMA_DEBUG=2, restart the server, load the model and post the output of:Warning, this will be a lot of logging.
@S0AndS0 commented on GitHub (Apr 6, 2026):
Massive log for sure (-!
Note; I tacked on
teeto ensure all was captured, and to mitigate me messing-up formatting again@rick-github commented on GitHub (Apr 7, 2026):
The version of ollama here is not 0.20.2. I'm not familiar with NixOS, do they do their own package build?
@S0AndS0 commented on GitHub (Apr 7, 2026):
NixOS is a build from source distro, but with caching for pure FOSS packages that are not overridden
But, because I'm overriding (which triggers non-cached build) the Cuda variant (which is not pure FOSS) it should be forced to build from source on my device
Plus all logs are pointing to it really being version
0.20.2as defined in OP configs... only cache I can think may be getting in the way is local
/nix/storecacheFor any in audience that are following along at home, here be how to likely rule out cache invalidation bugs when overriding preexisting packages;
Nix hash dance
First force
src.hashto an empty string;Next attempt re-build and extract computed hash from error;
Then insert that hash;
And finally rebuild again;
🤞 here's hoping it was a me problem the whole time!
I'll report back, either with an edit to this post or reply to any follow-on replies, one way or the other once compiling completes
Edit and update
Looks like
0.20.2has a build error?!After all that cerimony with `hash`es it's popping;
... sorts of build errors :-\
Here be the full gorry log;
TLDR: ya likely be correct that I ain't running
0.20.2🤦Edit to the edit 💫
So turns out the derivation wrapper that NixOS uses for
ollamais agoBuildfunction that has it's own hash for Go related dependencies, spicificllyvendorHashbe that attribute, sooo I'm doing the song-and-dance of empty hash -> error -> computed hash -> re-compile 🤪... nope, still no joy with
gemma4here be current state of Nix configs;@ForsakenHarmony commented on GitHub (Apr 7, 2026):
having the same issue on
0.20.3trying to loadhuggingface.co/unsloth/gemma-4-e4b-it-gguf:UD-Q4_K_XLnot working in docker or on windows directly
@rick-github commented on GitHub (Apr 7, 2026):
https://github.com/ollama/ollama/issues/15354#issuecomment-4191794224
@ZgblKylin commented on GitHub (Apr 7, 2026):
The reason is https://github.com/ollama/ollama/issues/14575#issuecomment-3989918451
As a workaround, removing the vision GGUF would work: https://github.com/ollama/ollama/issues/14503#issuecomment-4133511574
I ran
hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:IQ4_XSsuccessfully by these steps:ollama show --modelfile <model> > ModelfileModelfile, delete secondFrom xxxxollama create <new_name> -f Modelfileollama run <new_name>@S0AndS0 commented on GitHub (Apr 8, 2026):
No joy with instructions provided when used against
gemma4:26b🤷To mitigate possible non-reproducibility, here be instructions as understood encoded into simple Bash script;
... near as I can tell
gemma4:26bhas oneFROMline that's acthually usedI also tried using only
FROM gemma4:26btoo, and same 500 errors as reported were the result@rick-github commented on GitHub (Apr 8, 2026):
The issue you are having is not the presence of a second GGUF (vision) in the Modelfile. Your issue is that the ollama binary you are building is not at least 0.20.0, which is when gemma4 support was added.
@S0AndS0 commented on GitHub (Apr 8, 2026):
Pretty sure it is
0.20.2since latest re-build and re-compile yesterday, especially as all known sources of possible cache confusion have been eliminated and properly overriddenIs there some way to check other than
ollama -v?@rick-github commented on GitHub (Apr 8, 2026):
Show me the
server configline.@S0AndS0 commented on GitHub (Apr 8, 2026):
server configline as in SystemD'sExecStartline, or via somewhere else?@rick-github commented on GitHub (Apr 8, 2026):
@S0AndS0 commented on GitHub (Apr 8, 2026):
Apr 07 07:29:36 nixos ollama[1835]: time=2026-04-07T07:29:36.263-07:00 level=INFO source=routes.go:1636 msg="server config" env="map[CUDA_VISIBLE_DEVICES: GGML_VK_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:0 OLLAMA_DEBUG:DEBUG-4 OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/var/lib/ollama/models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOTES:[ollama.com] OLLAMA_SCHED_SPREAD:false OLLAMA_VULKAN:false ROCR_VISIBLE_DEVICES: http_proxy: https_proxy: no_proxy:]"@rick-github commented on GitHub (Apr 8, 2026):
https://github.com/ollama/ollama/pull/14106 added a new configuration variable,
OLLAMA_DEBUG_LOG_REQUESTS, and was merged on March 20. Yourserver configline does not contain this variable, so the source code you are building from is at least three weeks old, older than ollama v0.18.3. Hence no gemma4 support.@S0AndS0 commented on GitHub (Apr 8, 2026):
🤦 ... thanks!
I'm gonna get a drink, or few, and mutter about NixOS filthy promises of fearless experimentation elsewhere for a bit x-]
@YellowOnion commented on GitHub (Apr 8, 2026):
@S0AndS0
You're using the old source code, you must update the hash or nix will assume nothing has changed and not invalidate the caching. New Source code, means new hash.
using override on the
srcis a footgun causing this issue.Just use
fetchFromGithubwithlib.fakeHash, or this command to generate the needed code.@S0AndS0 commented on GitHub (Apr 8, 2026):
WoooohoooOooo!
@YellowOnion ya may not have fixed me, but ya fixed my particular issue with Ollama and NixOS, thanks!
@rick-github super grateful I am to ya for putting-up with my fumbling x-]
I'll be editing the OP with configs that are functioning, with GPU support, for Gemma4 with version
0.20.2of Ollama and then closing this Issue as resolved 🎉