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.
Source du modèle
- Type
- Text model
- Taille du fichier
- 4,89 GB
- Modèle de base
- google/gemma-4-12B-it
- Version
- vmodel
- Mis à jour
- 30 oct. 2026
- Téléchargements
- 34
- Source
- Hugging Face
Description de la source
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
Sources
1 sourceVérifié 30 oct.
Download files
Model · 1 weight files
All files listed in the provider index are present.
- model.safetensors.index.json · provider index
- config.json
- generation_config.json
- model.safetensors · individual shard
Repository files
File inventory only; completeness is unverified.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactmodel.safetensors
safetensors · U32 + BF16 (tensor header) · 4,89 GB · SHA-256 06d3c0f00197…8a24 · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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
