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MLX-VLMbf1648GGemma4ForConditionalGenerationany-to-anymlx-vlm and LM Studiomlx-vlmmlx-vlm: passedpassedmixedmixednot supported yetConversion finished successfully, but Gemma 4 runtime behavior still depends on current mlx-vlm and LM Studio support. In local checks, the models load in mlx-vlm and can emit tokens, but output quality still needs tuning, and LM Studio 0.4.11+1 currently refuses to load Gemma 4.config.jsongeneration_config.jsonchat_template.jinjaprocessor_config.jsontokenizer.jsontokenizer_config.jsonmodel.safetensors.index.jsonmodel-*.safetensors1mlx_vlm.generate \
2 --model /path/to/Huihui-gemma-4-26B-A4B-it-abliterated-mlx-bf16 \
3 --prompt "Describe local inference in one short sentence." \
4 --max-tokens 128 \
5 --temperature 1.0 \
6 --trust-remote-code1mlx_vlm.generate \
2 --model /path/to/Huihui-gemma-4-26B-A4B-it-abliterated-mlx-bf16 \
3 --image /path/to/example.png \
4 --prompt "Describe this image." \
5 --max-tokens 128 \
6 --temperature 1.0 \
7 --trust-remote-codeValueError: Gemma 4 support is not ready yet, stay tuned!. Use mlx-vlm for now until LM Studio adds native Gemma 4 support.mlx-vlm version, sampling parameters, and prompt style.