Safetensors gemma4 imports served by the MLX engine now answer image
and audio chats. Images run through both vision architectures: the
transformer tower (26B, 31B, e-series) and the 12B's encoder-free
unified embedder. Audio arrives through the same intake the ollama
API already accepts for gemma4 GGUFs — WAV bytes in the images field,
OpenAI input_audio parts, and /v1/audio/transcriptions uploads — with
the e2b/e4b checkpoints running clips through their conformer audio
encoder and the 12b unified checkpoint embedding the raw waveform
directly. Clips longer than 30 seconds are split evenly into chunks
of at most 30 seconds, cut at pauses, and encoded independently.
Each modality serves only checkpoints that carry it: 26B/31B have no
audio config and reject audio input, and checkpoints with an
unrecognized vision architecture still load as text-only models and
reject image requests.
The server previously hid the vision and audio capabilities for
gemma4 safetensors because the engine served neither. Both
suppressions are removed, and existing imports start advertising the
capabilities without re-importing since import already records them.