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Gemma 4 E2B It Uncensored Heretic Ara MLX 4bit Mixed 4 6

This model was converted to MLX from p-e-w/gemma-4-E2B-it-heretic-ara using mlx-vlm version 0.6.3. Please refer to the original model card for more details.

KindText modelBase modelp-e-w/gemma-4-E2B-it-heretic-araVersionmodelBgrade

Model source

Kind
Text model
File size
4.01 GB
Base model
p-e-w/gemma-4-E2B-it-heretic-ara
Version
vmodel
Updated
Sep 26, 2026
Downloads
55
Source
Hugging Face

Source excerpt

This model was converted to MLX from p-e-w/gemma-4-E2B-it-heretic-ara using mlx-vlm version 0.6.3. Please refer to the original model card for more details.

Sources

1 source

Model artifacts

1 artifact

model.safetensors

safetensors · 4.01 GB · SHA-256 171d487e138f…42a5 · Hugging Face

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Source excerpts

2 excerpts

--- base_model: p-e-w/gemma-4-E2B-it-heretic-ara language: en library_name: mlx license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any tags: - mlx - heretic - uncensored - decensored - abliterated - ara --- # 🦆 zecanard/gemma-4-E2B-it-uncensored-heretic-ara-MLX-4bit-mixed_4_6 [This model](https://huggingface.co/zecanard/gemma-4-E2B-it-uncensored-heretic-ara-MLX-4bit-mixed_4_6) was converted to MLX from [`p-e-w/gemma-4-E2B-it-heretic-ara`](https://huggingface.co/p-e-w/gemma-4-E2B-it-heretic-ara) using `mlx-vlm` version **0.6.3**. Please refer to the [original model card](https://huggingface.co/p-e-w/gemma-4-E2B-it-heretic-ara) for more details. ## 🌟 Quality Mixed-precision quantized vision language model with an effective **6.787 bits per weight**. Combines the size and speed benefits of a 4-bit quant with higher precision where it matters most. `mlx_vlm.convert --quantize --q-group-size 32 --quant-predicate mixed_4_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` ```bash pip install -U mlx-vlm ``` ```bash mlx_vlm.generate --model zecanard/gemma-4-E2B-it-uncensored-heretic-ara-MLX-4bit-mixed_4_6 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image> ```

Source context: 55 downloads · 1 likes · Pipeline any-to-any · Library mlx · Repo zecanard/gemma-4-E2B-it-uncensored-heretic-ara-MLX-4bit-mixed_4_6