[nikodunk]

Having read above article, I just gave llama.cpp a shot. It is as easy as the author says now, though definitely not documented quite as well. My quickstart:

brew install llama.cpp

llama-server -hf ggml-org/gemma-4-E4B-it-GGUF --port 8000

Go to localhost:8000 for the Web UI. On Linux it accelerates correctly on my AMD GPU, which Ollama failed to do, though of course everyone's mileage seems to vary on this.

[teekert]

Was hoping it was so easy :) But I probably need to look into it some more.

llama_model_load: error loading model: error loading model architecture: unknown model architecture: 'gemma4' llama_model_load_from_file_impl: failed to load model

Edit: @below, I used `nix-shell -p llama-cpp` so not brew related. Could indeed be an older version indeed! I'll check.

[adrian_b]

As it has been discussed in a few recent threads on HN, whenever a new model is released, running it successfully may need changes in the inference backends, such as llama.cpp.

There are 2 main reasons. One is the tokenizer, where new tokenizer definitions may be mishandled by the older tokenizer parsers.

The second reason is that each model may implement differently the tool invocations, e.g. by using different delimiter tokens and different text layouts for describing the parameters of a tool invocation.

Therefore running the Gemma-4 models encountered various problems during the first days after their release, especially for the dense 31B model.

Solving these problems required both a new version of llama.cpp (also for other inference backends) and updates in the model chat template and tokenizer configuration files.

So anyone who wants to use Gemma-4 should update to the latest version of llama.cpp and to the latest models from Huggingface, because the latest updates have been a couple of days ago.

[roosgit]

I just hit that error a few minutes ago. I build my llama.cpp from source because I use CUDA on Linux. So I made the mistake of trying to run Gemma4 on an older version I had and I got the same error. It’s possible brew installs an older version which doens’t support Gemma4 yet.

[teekert]

Ah it was indeed just that!

I'm now on:

$ llama --version version: 8770 (82764d8) built with GNU 15.2.0 for Linux x86_64

(From Nix unstable)

And this works as advertised, nice chat interface, but no openai API I guess, so no opencode...

[homarp]

check on same port, there is an OpenAI API https://github.com/ggml-org/llama.cpp/tree/master/tools/serv...

[teekert]

Good stuff, thanx!

[zozbot234]

And that's exactly why llama.cpp is not usable by casual users. They follow the "move fast and break things" model. With ollama, you just have to make sure you're getting/building the latest version.

[Eisenstein]

Its not possible to run the latest model architectures without 'moving fast'. The only thing broken here is that they are trying to use an old version with a new model.

[cyanydeez]

and Ollama suffered the same fate when wanting to try new models

[Eisenstein]

What fate?