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FromSomeFuture/G4-MeroMero-31B-uncensored-heretic-mlx-4Bit

FromSomeFuture Gemma 31B second-order
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Response includes
  • classification m3
  • files 12
  • hub_downloads_all_time 623
  • author_summary 1 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
623
63 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-05-21

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
Now641→from151↑325%
127314502690151 on May 20641 on Oct 11641 on Oct 6MayJunJulAugSepOct
May 20 → Oct 11 · 60 snapshots · spans 144 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

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
16.1 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-21 17:21

Files by quantization

Auxiliary files 12 files 16.1 GB
model-00003-of-00004.safetensors 5.00 GB a64a26ba download
model-00001-of-00004.safetensors 5.00 GB b35cb524 download
model-00002-of-00004.safetensors 4.99 GB 38109756 download
model-00004-of-00004.safetensors 1.09 GB 745f5082 download
tokenizer.json 30.7 MB cc8d3a0c download
model.safetensors.index.json 163 KB dbbf0fca download
chat_template.jinja 16.9 KB 7fa57f97 download
config.json 4.28 KB 233249ac download
tokenizer_config.json 2.78 KB 3e9c7cde download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.18 KB 1ca51205 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

FromSomeFuture/G4-MeroMero-31B-uncensored-heretic-mlx-4Bit

The Model FromSomeFuture/G4-MeroMero-31B-uncensored-heretic-mlx-4Bit 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("FromSomeFuture/G4-MeroMero-31B-uncensored-heretic-mlx-4Bit")

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. 2026-05-21Upload folder using huggingface_hubdec42851.2 KB
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