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zecanard/gemma-4-31b-it-uncensored-heretic-ara-MLX-4bit-mixed_4_6

zecanard Gemma 31B multimodal second-order
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
2K
127 last 30d - cooling
Likes
1
Model age
5mo ago
created 2026-04-19
Downloads over time
Now2.4K→from651↑263%
5661.2K1.9K2.5K651 on Apr 222.4K on Oct 112.4K on Oct 10AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
mlx safetensors gemma4 heretic uncensored decensored abliterated ara image-text-to-text conversational en base_model:trohrbaugh/gemma-4-31b-it-heretic-ara

Related

Total size
18.4 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-15 08:15

Files by quantization

Auxiliary files 13 files 18.5 GB
model-00002-of-00004.safetensors 5.00 GB cdf08fe4 download
model-00003-of-00004.safetensors 5.00 GB 06233e8b download
model-00001-of-00004.safetensors 4.99 GB 5d3d1674 download
model-00004-of-00004.safetensors 3.44 GB 7673c02a download
tokenizer.json 30.7 MB cc8d3a0c download
model.safetensors.index.json 201 KB afd95aa6 download
config.json 104 KB f9015d85 download
chat_template.jinja 17.9 KB 1c29e513 download
tokenizer_config.json 2.68 KB cf6235ae download
README.md 1.73 KB a035eac2 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 902 B 13e92a44 download
generation_config.json 203 B edda3c19 download

README current version from Hugging Face


base_model: trohrbaugh/gemma-4-31b-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: image-text-to-text
tags:

  • mlx
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara

🦆 zecanard/gemma-4-31b-it-uncensored-heretic-ara-MLX-4bit-mixed_4_6

This model was converted to MLX from trohrbaugh/gemma-4-31b-it-heretic-ara 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 5.064 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

pip install -U mlx-vlm
mlx_vlm.generate --model zecanard/gemma-4-31b-it-uncensored-heretic-ara-MLX-4bit-mixed_4_6 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>

README history 3 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-06-12Add files using upload-large-folder tool36650d81.7 KB
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  2. 2026-05-08Add files using upload-large-folder toolb34f5ec1.7 KB
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  3. 2026-04-19Add files using upload-large-folder toolb9ef80c1.7 KB
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