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McG-221/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-mlx-8Bit

McG-221 Gemma 31B multimodal second-order
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Response includes
  • classification m3
  • files 14
  • hub_downloads_all_time 1,878
  • author_summary 23 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
755 last 30d - stable
Likes
4
Model age
4mo ago
created 2026-05-16
Downloads over time
Now2.1K→from397↑439%
3069751.6K2.3K397 on May 202.1K on Oct 11MayJunJulAugSepOct
May 20 → Oct 11 · 60 snapshots · spans 144 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en jpn
Tags
transformers safetensors gemma4 image-text-to-text text-generation-inference unsloth heretic uncensored decensored abliterated ara creative writing

Related

Total size
30.4 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-16 21:16

Files by quantization

Auxiliary files 14 files 30.4 GB
model-00005-of-00007.safetensors 4.98 GB f2ccd26d download
model-00004-of-00007.safetensors 4.96 GB 0e11a2e4 download
model-00002-of-00007.safetensors 4.96 GB 88a06b5d download
model-00003-of-00007.safetensors 4.91 GB 54421a70 download
model-00006-of-00007.safetensors 4.91 GB 73840e9b download
model-00001-of-00007.safetensors 4.90 GB 67dbfa1a download
model-00007-of-00007.safetensors 775 MB 28e7b2d6 download
tokenizer.json 30.7 MB cc8d3a0c download
model.safetensors.index.json 163 KB f0c2cc92 download
chat_template.jinja 16.9 KB 7fa57f97 download
config.json 4.36 KB dad37aec download
tokenizer_config.json 2.76 KB f21f2a4f download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.52 KB a564ea89 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: image-text-to-text
base_model: llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
tags:

  • text-generation-inference
  • transformers
  • unsloth
  • gemma4
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara
  • creative writing
  • translation
  • visual novels
  • finetune
  • roleplay
  • rp
  • mlx
  • mlx-my-repo
    language:
  • en
  • jpn

McG-221/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-mlx-8Bit

The Model McG-221/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-mlx-8Bit was converted to MLX format from llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("McG-221/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-mlx-8Bit")

prompt="hello"

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

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. 2026-05-16Upload folder using huggingface_hub8bbc0ec1.5 KB
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