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Gemma 4 12B It TurboQuant MLX 3bit

google/gemma-4-12B-it @ 12ace6d648d72bd41519e140f1185f34d38c7e3d quantized pack, published as majentik/gemma-4-12B-it-TurboQuant-MLX-3bit.

KindText modelBase modelgoogle/gemma-4-12B-itVersionmodelBgrade

Model source

Kind
Text model
File size
4.89 GB
Base model
google/gemma-4-12B-it
Version
vmodel
Updated
Oct 30, 2026
Downloads
34
Source
Hugging Face

Source description

gemma-4-12B-it — TurboQuant MLX 3bit

google/gemma-4-12B-it @ 12ace6d648d72bd41519e140f1185f34d38c7e3d quantized pack, published as majentik/gemma-4-12B-it-TurboQuant-MLX-3bit.

Method

MLX quantization via mlx-vlm 0.6.3 (3bit, group_size 64); vision + audio towers retained in BF16 (not quantized).

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

This pack is image-text-to-text capable: the vision and audio towers ship in BF16 alongside the quantized text tower, so image (and audio) inputs are supported end to end via mlx-vlm.

Vision fidelity note: for this instruct variant, vision has only been validated at 6-bit and 8-bit. Vision fidelity degrades below 6-bit; use 6-bit or 8-bit for image tasks.

License

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

Sources

1 source
Hugging FacePrimaryVersion 170aa95b22650e508ad5946179f606c19b061d2b
huggingface.co/majentik/gemma-4-12B-it-TurboQuant-MLX-3bit/tree/170aa95b22650e508ad5946179f606c19b061d2b

Verified Oct 30

Download files

Model · 1 weight files

All files listed in the provider index are present.

Repository files

File inventory only; completeness is unverified.

Model artifacts

1 artifact

model.safetensors

safetensors · U32 + BF16 (tensor header) · 4.89 GB · SHA-256 06d3c0f00197…8a24 · Hugging Face

Download file

Source excerpts

3 excerpts

--- base_model: google/gemma-4-12B-it license: gemma library_name: mlx pipeline_tag: image-text-to-text tags: - mlx - quantized - gemma - gemma4 - image-text-to-text - apple-silicon - turboquant --- # gemma-4-12B-it — TurboQuant MLX 3bit [`google/gemma-4-12B-it`](https://huggingface.co/google/gemma-4-12B-it) @ `12ace6d648d72bd41519e140f1185f34d38c7e3d` quantized pack, published as `majentik/gemma-4-12B-it-TurboQuant-MLX-3bit`. ## Method MLX quantization via mlx-vlm 0.6.3 (3bit, group_size 64); vision + audio towers retained in BF16 (not quantized). ## 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 This pack is `image-text-to-text` capable: the vision and audio towers ship in BF16 alongside the quantized text tower, so image (and audio) inputs are supported end to end via `mlx-vlm`. **Vision fidelity note:** for this instruct variant, vision has only been validated at 6-bit and 8-bit. Vision fidelity degrades below 6-bit; use 6-bit or 8-bit for image tasks. ## License Governed by the [Gemma Terms of Use](https://ai.google.dev/gemma/terms). See the upstream repo for the full license text.

Source context: 34 downloads · 0 likes · Pipeline image-text-to-text · Library mlx · Repo majentik/gemma-4-12B-it-TurboQuant-MLX-3bit

Source context: 81 downloads · 0 likes · Pipeline image-text-to-text · Library mlx · Repo majentik/gemma-4-12B-it-TurboQuant-MLX-3bit