Gemma model support

[sybersitizen]

I see there is a Gemma 2b model that appears to not be supported in IMatch:

https://ollama.com/library/gemma3n

Is there a reason why it's not? My GPU VRAM is only 4GB, so I'm seeking the smallest possible model.

[Mario]

Neither Ollama nor LM Studio offer currently support for the "vision" version of Gemma3n:4b. That's all still in the works.

Both LM Studio and Ollama offer a wide range of models. For IMatch, only vision-capable models are of interest.

[sybersitizen]

I see. So, once LM Studio and Ollama offer vision support for the new models, IMatch can as well.

[sybersitizen]

Oh ... I've just been reading that there are QAT (quantization aware trained) versions of the Gemma 3 models that are smaller in size:

https://developers.googleblog.com/en/gemma-3-quantized-aware-trained-state-of-the-art-ai-to-consumer-gpus/

https://ollama.com/library/gemma3

The 4b QAT model should work easily in 4GB but I suppose IMatch would have to be modified in order to support it?