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connstruct/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking

connstruct Gemma 31B second-order
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Response includes
  • classification m3
  • files 13
  • benchmarks 11 entries
  • author_summary 2 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 · 30-day
545
↑ 1,954% in 90 days
Likes
0
Model age
2mo ago
created 2026-08-09
Downloads over time
Now1.4K→from69↑1,954%
25181K1.6K69 on Aug 51.4K on Sep 29AugSep
Aug 5 → Sep 29 · 38 snapshots · spans 55 days

Benchmarks

Benchmark Score Source
Entertainment 2.8 UGI
Hazardous 4.7 UGI
Natural Intelligence 34.42 UGI
Political lean -22.2% UGI
Sensitive-Info 32.29 UGI
SocPol 2.6 UGI
UGI 52.36 UGI
Willingness (10) 9.2 UGI
W10-Adherence 8.5 UGI
W10-Direct 10 UGI
Writing 38.68 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
mlx safetensors gemma4 heretic abliterated uncensored finetune unsloth all use cases coder creative creative writing

Related

Total size
29.5 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-09 23:12

Files by quantization

Auxiliary files 13 files 29.5 GB
model-00005-of-00006.safetensors 4.99 GB 879fa327 download
model-00003-of-00006.safetensors 4.99 GB 63b5a1f9 download
model-00001-of-00006.safetensors 4.98 GB d16ac145 download
model-00002-of-00006.safetensors 4.94 GB 05a29afe download
model-00004-of-00006.safetensors 4.94 GB 22166982 download
model-00006-of-00006.safetensors 4.64 GB 063f783b download
tokenizer.json 30.7 MB cc8d3a0c download
model.safetensors.index.json 123 KB 34a8067e download
chat_template.jinja 16.1 KB df3629f1 download
config.json 4.23 KB a063c810 download
tokenizer_config.json 2.68 KB a866f330 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.44 KB acc539ff download

README current version from Hugging Face


license: apache-2.0
base_model: DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
pipeline_tag: text-generation
tags:

  • heretic
  • abliterated
  • uncensored
  • finetune
  • unsloth
  • all use cases
  • coder
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • story generation
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction
  • roleplaying
  • bfloat16
  • mlx
    library_name: mlx

connstruct/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking

This model connstruct/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking was
converted to MLX format from DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
using mlx-lm version 0.31.3.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("connstruct/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

README history 1 version

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

  1. 2026-08-09Add files using upload-large-folder toolc1be3f11.4 KB
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