There's been no noteworthy contributions, I'd honestly wouldn't be surprised to hear there's 0 contributions. Well it's even sillier than that: I didn't realiz

There's been no noteworthy contributions, I'd honestly wouldn't be surprised to hear there's 0 contributions. Well it's even sillier than that: I didn't realize that the timeline in the llama.cpp link was humble and matched my memory: it was the test binaries that changed. i.e. the API was refactored a bit and such but its not anything new under the sun. Also the llama.cpp they have has tool and thinking support. shrugs The tooling was called llava but that's just because it was the first model -- multimodal models are/were consistently supported ~instantly, it was just your calls into llama.cpp needed to manage that,a nd they still do! - its just there's been some cleanup so there isn't one test binary for every model. It's sillier than that in it wasn't even "multi-modal + better vision support was here" it was "oh we should do that fr if llama.cpp is" On a more positive note, the big contributor I appreciate in that vein is Kobold contributed a ton of Vulkan work IIUC. And another round of applause for ochafik: idk if this gentleman from Google is doing this in his spare time or fulltime for Google, but they have done an absolutely stunning amount of work to make tool calls and thinking systematically approachable, even building a header-only Jinja parser implementation and designing a way to systematize "blessed" overrides of the rushed silly templates that are inserted into models. Really important work IMHO, tool calls are what make AI automated and having open source being able to step up here significantly means you can have legit Sonnet-like agency in Gemma 3 12B, even Phi 4 3.8B to an extent.