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hummsel/G4-MeroMero-31B-uncensored-heretic-AWQ

hummsel Gemma 29B second-order
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Response includes
  • classification m3
  • files 16
  • hub_downloads_all_time 186
  • 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
186
55 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-05-31
Downloads over time
Now194→from37↑424%
298915021037 on Jun 10194 on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 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
gemma
Tags
safetensors gemma4 amg auto-round awq quantized text-generation conversational base_model:llmfan46/G4-MeroMero-31B-uncensored-heretic base_model:quantized:llmfan46/G4-MeroMero-31B-uncensored-heretic license:gemma 4-bit

Related

Total size
17.9 GB
Files
16
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-31 09:02

Files by quantization

Auxiliary files 16 files 17.9 GB
model-00001-of-00005.safetensors 3.99 GB 3537215b download
model-00003-of-00005.safetensors 3.96 GB 27c20caa download
model-00002-of-00005.safetensors 3.96 GB 83a01fe8 download
model-00004-of-00005.safetensors 3.31 GB a45d6f1a download
model-00005-of-00005.safetensors 2.64 GB 8f2093c4 download
tokenizer.json 30.7 MB a2619fe1 download
model.safetensors.index.json 195 KB d32a042e download
chat_template.jinja 16.9 KB 7fa57f97 download
config.json 5.07 KB e1a7c238 download
tokenizer_config.json 2.75 KB 4a794cf8 download
processor_config.json 1.65 KB 5465974d download
.gitattributes 1.53 KB 52373fe2 download
README.md 490 B 72f2715f download
quantization_config.json 449 B d5587b51 download
preprocessor_config.json 403 B 1b1350e0 download
generation_config.json 203 B a5245e87 download

README current version from Hugging Face


license: gemma
base_model: llmfan46/G4-MeroMero-31B-uncensored-heretic
tags:

  • amg
  • auto-round
  • awq
  • quantized
    pipeline_tag: text-generation
    num_parameters: 310000000000

G4-MeroMero-31B-uncensored-heretic - 4-Bit AWQ

Dies ist eine 4-Bit AWQ-Quantisierung des Modells llmfan46/G4-MeroMero-31B-uncensored-heretic.

Details zur Quantisierung

  • Methode: Intel Auto-Round
  • Format: Auto_AWQ (4-Bit)

README history 2 versions

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

  1. 2026-05-31Update README.mda5a6901490 B
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  2. 2026-05-31Create README.md500594a461 B
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