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zecanard/gemma-4-E4B-it-ultra-uncensored-heretic-MLX-3bit-mixed_3_6

zecanard Gemma 7.5B second-order
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Response includes
  • classification m3
  • files 11
  • benchmarks 11 entries
  • hub_downloads_all_time 2,290
  • author_summary 95 models
  • readme_text full
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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
101 last 30d - cooling
Likes
1
Model age
5mo ago
created 2026-04-18
Downloads over time
Now2.3K→from617↑275%
5321.2K1.8K2.5K617 on Apr 222.3K on Oct 112.3K on Oct 10AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 days

Benchmarks

Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.2 UGI
Natural Intelligence 16.7 UGI
Political lean -13.3% UGI
Sensitive-Info 10.94 UGI
SocPol 1.3 UGI
UGI 38.12 UGI
Willingness (10) 9.2 UGI
W10-Adherence 8.5 UGI
W10-Direct 10 UGI
Writing 19.06 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
mlx safetensors gemma4 3-bit heretic uncensored decensored abliterated ara any-to-any en base_model:llmfan46/gemma-4-E4B-it-ultra-uncensored-heretic

Related

Total size
5.34 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-15 08:15

Files by quantization

Auxiliary files 11 files 5.37 GB
model-00001-of-00002.safetensors 5.00 GB 0f1c2378 download
model-00002-of-00002.safetensors 349 MB 400b797a download
tokenizer.json 30.7 MB a2619fe1 download
model.safetensors.index.json 276 KB 03408f39 download
config.json 90.0 KB 6f67aa64 download
chat_template.jinja 17.9 KB 1c29e513 download
tokenizer_config.json 2.75 KB dc684e39 download
README.md 1.78 KB 031ad76f download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 929 B 4a118b57 download
generation_config.json 217 B ed42ae71 download

README current version from Hugging Face


license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
tags:

  • mlx
  • 3-bit
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara
    base_model: llmfan46/gemma-4-E4B-it-ultra-uncensored-heretic
    language: en
    library_name: mlx

🦆 zecanard/gemma-4-E4B-it-ultra-uncensored-heretic-MLX-3bit-mixed_3_6

This model was converted to MLX from llmfan46/gemma-4-E4B-it-ultra-uncensored-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 5.804 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 related to 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-E4B-it-ultra-uncensored-heretic-MLX-3bit-mixed_3_6 --max-tokens 100 --temperature 0 --prompt "Describe this image." --image <path_to_image>

README history 6 versions

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

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  2. 2026-05-08Add files using upload-large-folder tool9d4fd761.7 KB
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