[coder543]

There are issues with the chat template right now[0], so tool calling does not work reliably[1].

Every time people try to rush to judge open models on launch day... it never goes well. There are ~always bugs on launch day.

[0]: https://github.com/ggml-org/llama.cpp/pull/21326

[1]: https://github.com/ggml-org/llama.cpp/issues/21316

[stavros]

What causes these? Given how simple the LLM interface is (just completion), why don't teams make a simple, standardized template available with their model release so the inference engine can just read it and work properly? Can someone explain the difficulty with that?

[Yukonv]

The model does have the format specified but there is no _one_ standard. For this model it’s defined in the [ tokenizer_config.json [0]. As for llama.cpp they seem to be using a more type safe approach to reading the arguments.

[0] https://huggingface.co/google/gemma-4-31B-it/blob/main/token...

[stavros]

Hm, but surely there will be converters for such simple formats? I'm confused as to how there can be calling bugs when the model already includes the template.

[emidoots]

was just merged

[coder543]

It was just an example of a bug, not that it was the only bug. I’ve personally reported at least one other for Gemma 4 on llama.cpp already.

In a few days, I imagine that Gemma 4 support should be in better shape.