Instructions to use zecanard/gemma-4-12b-it-uncensored-heretic-MLX-3bit-mixed_3_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use zecanard/gemma-4-12b-it-uncensored-heretic-MLX-3bit-mixed_3_6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-12b-it-uncensored-heretic-MLX-3bit-mixed_3_6 zecanard/gemma-4-12b-it-uncensored-heretic-MLX-3bit-mixed_3_6
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
🦆 zecanard/gemma-4-12b-it-uncensored-heretic-MLX-3bit-mixed_3_6
This model was converted to MLX from trohrbaugh/gemma-4-12b-it-heretic using mlx-vlm version 0.6.3.
Please refer to the original model card for more details.
🌟 Quality
Mixed-precision quantized vision language model with an effective 4.152 bits per weight. Combines the size and speed benefits of a 3-bit quant with higher precision where it matters most.
mlx_vlm.convert --quantize --q-group-size 32 --quant-predicate mixed_3_6
🛠️ Customizations
This quant includes a bugfix for tools calling. It is aware of the current date, and also enables thinking (if available). You may disable this behavior by deleting the following line from the chat template, or changing true to false:
{%- set enable_thinking = true %}
You may need to adjust your environment’s Reasoning Section Parsing to recognize <|channel>thought as the Start String, and <channel|> as the End String.
🖥️ Use with mlx
pip install -U mlx-vlm
mlx_vlm.generate --model zecanard/gemma-4-12b-it-uncensored-heretic-MLX-3bit-mixed_3_6 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>
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