[!TIP] KV-cache quantization (upstream, no fork needed): llama.cpp/Ollama cover this natively — -ctk q8_0 -ctv q8_0 (~half KV memory, negligible quality loss) or -ctk q4_0 -ctv q4_0 (~quarter memory, small quality cost). In Ollama: OLLAMA_KV_CACHE_TYPE=q8_0 with OLLAMA_FLASH_ATTENTION=1.

gemma-4-12B-it — TurboQuant GGUF Q8_0

google/gemma-4-12B-it @ 12ace6d648d72bd41519e140f1185f34d38c7e3d quantized pack, published as majentik/gemma-4-12B-it-TurboQuant-GGUF-Q8_0.

Method

llama.cpp Q8_0 quantization, text-only (vision/audio not included).

Release line

Released under the TurboQuant line. RotorQuant and TurboQuant are this project's release labels for this pack, not distinct quantization algorithms — both brand repos for a given tier carry byte-identical weights, produced once and published under two names. No brand-specific speedup is claimed or measured for either label.

Modality

TEXT-ONLY. This is a llama.cpp GGUF conversion of the text tower only — the vision and audio towers are NOT included in this pack. Do not expect image or audio understanding from this repo; use one of the MLX packs for multimodal input.

License

Governed by the Gemma Terms of Use. See the upstream repo for the full license text.