[Zambyte]

Is this Mac only? Or is that an Ollama issue that it only supports this release of models on Mac? It seems like every tag with the MLX badge is only supported on Mac[0], and that includes all of the tags in this release.

[0] https://ollama.com/library/gemma4/tags

Edit: MLX being Mac-only is independent of the model being MLX (and therefore Mac) only. The latter is what I am asking about.

[embedding-shape]

MLX is quite literally macOS-specific technology, for other platforms you want non-MLX.

I was sure "MLX" stood for "Metal-something-something" but can't find any reference to that somehow, anywho, "Metal" is hardware-accelerated graphics on Apple platforms FWIW.

Edit: about the actual release on Ollama, if you're on non-Apple hardware you probably want the NVFP4 variant ("gemma4:12b-nvfp4") which was uploaded 45 minutes ago, especially if you're with a recent nvidia GPU.

[Patrick_Devine]

I realize this is a little confusing; we're working w/ the MLX team to bring MLX to other platforms, but we're not quite there yet. The `gemma4:12b-nvfp4` model is specifically for the MLX engine.

For the GGUF 4bit variant (i.e. non-macs) you'll need `gemma4:12b-it-q4_K_M` which I just pushed. You'll also need to upgrade to version 0.30.4 which we're just about to release (it's in prerelease and we're running through our last regression tests).

[embedding-shape]

I gotta say, having both "gemma4:12b-mlx-bf16" and "gemma4:12b-nvfp4" be MLX-specific, and not labeling all of the MLX-specific ones as such, is a bit different than "little confusing" and more "set up to be confusing" :)

> You'll also need to upgrade to version 0.30.4 which we're just about to release

Interesting, wasn't Google coordinating today's release with you? Considering the blog post seems to have gone out way before the release even been cut.

[Patrick_Devine]

Given the model was just republished by Google 15 minutes ago and we're going to have to redo everything (and everyone will have to redownload for all platforms -- not just Ollama), I'll just say that sometimes things don't work out exactly the way you want them to. :-D

That said, I think the gemma4:12b-nvfp4 model is pretty solid. It's been tuned with Nvidia's model optimizer. I've been waiting on the results for MMLU-Pro, but I'll have to retrigger that after reconverting.

[embedding-shape]

> Given the model was just republished by Google 15 minutes ago

Hah, missed that! Guess that's slightly neat though, you get a second chance ;) NVFP4 been a blast to use across a wide range of models, seems to work really well, at least with vLLM and a nvidia card.

[spicySpy]

Would you mind to share the link to `gemma4:12b-it-q4_K_M`?

[sambaumann]

I still get "this model requires macOS" when trying to pull that one

[embedding-shape]

I don't use Ollama myself anymore, but seems others been having similar issues for quite some time, maybe one of these fit your environment exactly? https://github.com/ollama/ollama/issues?q=is%3Aissue%20state...

[jw1224]

MLX is Apple’s own machine learning framework, designed for Apple Silicon: https://opensource.apple.com/projects/mlx/

[Zambyte]

The non-MLX versions just dropped on Ollama. gemma4:12b-it-q8_0, gemma4:12b-it-bf16, etc.

[accountrequired]

https://huggingface.co/ggml-org/gemma-4-12B-it-GGUF/tree/mai...

[jasonjmcghee]

There's a CUDA backend for MLX now. Not sure about the maturity.