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Mori-e/Gemma-4-Garnet-V2-31B-it-ultra-uncensored-heretic-oQ4-fp16

Mori-e Gemma 31B
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Response includes
  • classification m3
  • files 12
  • hub_downloads_all_time 2,278
  • 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
2K
80 last 30d - cooling
Likes
0
Model age
5mo ago
created 2026-05-09
Downloads over time
Now2.3K→from0↑0%
08431.7K2.5K0 on May 62.3K on Oct 12MayJunJulAugSepOct
May 6 → Oct 12 · 63 snapshots · spans 159 days

Metadata

Tags
mlx safetensors gemma4 oq quantized 4-bit region:us

Related

Total size
17.7 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-09 14:18

Files by quantization

Auxiliary files 12 files 17.7 GB
model-00002-of-00004.safetensors 4.68 GB c02c2ae3 download
model-00003-of-00004.safetensors 4.66 GB 7369ac3a download
model-00001-of-00004.safetensors 4.66 GB 890459df download
model-00004-of-00004.safetensors 3.70 GB 54cb6a1d download
tokenizer.json 30.7 MB a2619fe1 download
model.safetensors.index.json 193 KB 75ce5c50 download
config.json 18.5 KB 6283397e download
chat_template.jinja 16.9 KB 7fa57f97 download
tokenizer_config.json 2.74 KB de3b2c7e download
.gitattributes 1.53 KB 52373fe2 download
README.md 346 B 2f577994 download
generation_config.json 217 B ed42ae71 download

README current version from Hugging Face


library_name: mlx
tags:

  • mlx
  • oq
  • quantized

Gemma-4-Garnet-V2-31B-it-ultra-uncensored-heretic-oQ4-fp16

This model was quantized using oQ (oMLX v0.3.8) mixed-precision quantization.

Quantization details

  • Model type: gemma4
  • Bits: 4
  • Group size: 64
  • Format: MLX safetensors

README history 1 version

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

  1. 2026-05-09Upload Gemma-4-Garnet-V2-31B-it-ultra-uncensored-heretic-oQ4-fp16 via oMLXca04232346 B
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