Gemma 4 12B it GGUF — Quantized by BatiAI Optimized GGUF quantizations of google/gemma 4 12B it — Google DeepMind's encoder free multimodal model (text + image + audio + video ) that runs on a 16 GB Mac. Built directly from official Google BF16 weights by BatiAI for BatiFlow. Why Gemma 4 12B? 26B MoE class quality at ⚠️ Ollama can't do images/audio for Gemma 4 yet (0.20 doesn't know the gemma4uv / gemma4ua projectors). Multimodal needs llama server built from a recent llama.cpp master that includes the Gemma 4 projectors (the gemma4v/gemma4uv/gemma4a/gemma4ua clip graphs). Older builds fail with unknown projector type: gemma4uv . Gemma 4 12B is a reasoning model — give it enough max tokens (image descriptions emit 700+ tokens incl. a thinking block; the answer arrives in reasoning content + content ). RAM Requirements Your Mac RAM Q2 IQ3 Q3 IQ4 Q4 Q6 8GB ✅ ✅ ✅ tight ⚠️ ❌ ❌ 16GB ✅ ✅ ✅ ✅ ✅ Recommended ✅ 24GB+ ✅ ✅ ✅ ✅ ✅ ✅ Why BatiAI Quantization? BatiAI Third party Source Official Google weights Re quantized imatrix ✅ IQ variants calibrated varies Low quants ✅ Q2/Q3 for 8GB Macs often Q4 floor mmproj (vision+audio) ✅ included often text only Tool calling ✅ Verified often untested Bati…
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