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cookietimeh/G4-MeroMero-31B-uncensored-heretic-mlx-8Bit

cookietimeh Gemma 31B second-order
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Response includes
  • classification m3
  • files 15
  • hub_downloads_all_time 746
  • author_summary 3 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
746
61 last 30d - cooling
Likes
0
Model age
4mo ago
created 2026-05-17

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now755→from291↑159%
268446624801291 on May 20755 on Oct 11755 on Oct 6MayJunJulAugSepOct
May 20 → Oct 11 · 60 snapshots · spans 144 days

Genealogy 0 direct forks

Full fork graph →

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Metadata

License
apache-2.0
Tags
mlx safetensors gemma4 heretic uncensored decensored abliterated ara mlx-my-repo dataset:zerofata/Instruct-Anime dataset:zerofata/Gemini-3.1-Pro-SmallWiki dataset:zerofata/Gemini-3.1-Pro-GLM5-Characters

Related

Total size
30.4 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-17 07:03

Files by quantization

Auxiliary files 15 files 30.4 GB
model-00005-of-00007.safetensors 4.98 GB 229186d5 download
model-00004-of-00007.safetensors 4.96 GB 585668b7 download
model-00002-of-00007.safetensors 4.96 GB 5c72fcf7 download
model-00003-of-00007.safetensors 4.91 GB 4da62a30 download
model-00006-of-00007.safetensors 4.91 GB 66a40cbe download
model-00001-of-00007.safetensors 4.90 GB 48de8819 download
model-00007-of-00007.safetensors 775 MB a3bf0c71 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 4.28 KB 591cb92e download
tokenizer_config.json 2.78 KB 3e9c7cde download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.17 KB 27686488 download
generation_config.json 217 B 399b1301 download

README current version from Hugging Face


license: apache-2.0
datasets:

  • zerofata/Instruct-Anime
  • zerofata/Gemini-3.1-Pro-SmallWiki
  • zerofata/Gemini-3.1-Pro-GLM5-Characters
    base_model: llmfan46/G4-MeroMero-31B-uncensored-heretic
    tags:
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara
  • mlx
  • mlx-my-repo

cookietimeh/G4-MeroMero-31B-uncensored-heretic-mlx-8Bit

The Model cookietimeh/G4-MeroMero-31B-uncensored-heretic-mlx-8Bit was converted to MLX format from llmfan46/G4-MeroMero-31B-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("cookietimeh/G4-MeroMero-31B-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. 2026-05-17Upload folder using huggingface_hub3d087731.2 KB
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