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nkpz/gemma-2-Ifable-9B-Uncensored-DeLMAT

nkpz Gemma 9.2B
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Response includes
  • classification m-uncensored
  • files 13
  • benchmarks 11 entries
  • hub_downloads_all_time 199
  • author_summary 18 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
199
10 last 30d - cooling
Likes
2
Descendants
2
in 2 direct forks
Model age
19mo ago
created 2025-02-22
Downloads over time
Now207→from5↑4,040%
0761512275 on Feb 19, 2025207 on Oct 11207 on Oct 10Feb '25May '25Aug '25Nov '25FebMayAug
Feb 19, 2025 → Oct 11 · 125 snapshots · spans 599 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1 UGI
Hazardous 3.5 UGI
Natural Intelligence 15.75 UGI
Political lean -25.6% UGI
Sensitive-Info 18.71 UGI
SocPol 1.6 UGI
UGI 21.64 UGI
Willingness (10) 2.8 UGI
W10-Adherence 2.5 UGI
W10-Direct 3 UGI
Writing 29.13 UGI

Genealogy 2 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 gemma2 base_model:ifable/gemma-2-Ifable-9B base_model:finetune:ifable/gemma-2-Ifable-9B license:gemma region:us

Related

Total size
17.2 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-22 20:48

Files by quantization

Auxiliary files 13 files 17.3 GB
model-00003-of-00004.safetensors 4.62 GB 1fcd74d1 download
model-00002-of-00004.safetensors 4.61 GB 846309f1 download
model-00001-of-00004.safetensors 4.57 GB a55eb5e1 download
model-00004-of-00004.safetensors 3.42 GB 57c99c5e download
tokenizer.json 32.8 MB f559f218 download
tokenizer.model 4.04 MB 61a7b147 download
tokenizer_config.json 39.7 KB 8580f345 download
model.safetensors.index.json 38.2 KB 43bf0e42 download
.gitattributes 1.53 KB 52373fe2 download
config.json 890 B 8391d766 download
special_tokens_map.json 522 B 0acb52c8 download
README.md 340 B 1726f260 download
generation_config.json 187 B d5504b3d download

README current version from Hugging Face


license: gemma
base_model:

  • ifable/gemma-2-Ifable-9B

Decensored using a custom training script guided by activations, similar to ablation/"abliteration" scripts but not exactly the same approach.

The training script is released under the MIT license: https://github.com/nkpz/DeLMAT

Good model for a dramatic novel writing style.

README history 2 versions

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

  1. 2025-02-22Update README.md4adc501340 B
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  2. 2025-02-22initial commit324ce1223 B
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