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Babsie/Mag-Mell-R1-Uncensored-21B

Babsie Mistral 20B
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Response includes
  • classification m5
  • files 17
  • benchmarks 11 entries
  • hub_downloads_all_time 40
  • author_summary 10 models
  • readme_text full
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • no abliteration marker
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.

What is a refusal direction? →
Downloads · lifetime
40
11 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-05-21
Downloads over time
Now46→from14↑229%
1225374914 on May 2046 on Oct 1146 on Oct 7MayJunJulAugSepOct
May 20 → Oct 11 · 60 snapshots · spans 144 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 0.4 UGI
Hazardous 2.9 UGI
Natural Intelligence 21.63 UGI
Political lean -21.5% UGI
Sensitive-Info 16.7 UGI
SocPol 2.2 UGI
UGI 31.14 UGI
Willingness (10) 6 UGI
W10-Adherence 4 UGI
W10-Direct 8 UGI
Writing 35.82 UGI

Genealogy 0 direct forks

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Metadata

Tags
transformers safetensors mistral text-generation mergekit merge conversational base_model:Naphula/MN-12B-Mag-Mell-R1-Uncensored base_model:merge:Naphula/MN-12B-Mag-Mell-R1-Uncensored base_model:inflatebot/MN-12B-Mag-Mell-R1 base_model:merge:inflatebot/MN-12B-Mag-Mell-R1 text-generation-inference

Related

Total size
38.0 GB
Files
17
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-21 10:39

Files by quantization

Auxiliary files 17 files 38.1 GB
model-00002-of-00009.safetensors 4.65 GB 5049fcf9 download
model-00004-of-00009.safetensors 4.57 GB edd0a865 download
model-00005-of-00009.safetensors 4.57 GB dbc8bbfa download
model-00006-of-00009.safetensors 4.57 GB 2a759760 download
model-00008-of-00009.safetensors 4.57 GB eb59cc09 download
model-00003-of-00009.safetensors 4.53 GB dfa4e46d download
model-00007-of-00009.safetensors 4.53 GB 6a8e9c64 download
model-00001-of-00009.safetensors 4.53 GB 9676f08f download
model-00009-of-00009.safetensors 1.52 GB 55ca6f03 download
tokenizer.json 8.84 MB b31db4d6 download
tokenizer_config.json 173 KB 94357225 download
model.safetensors.index.json 51.0 KB 2f9d3836 download
README.md 1.94 KB 16efbf65 download
.gitattributes 1.48 KB a6344aac download
mergekit_config.yml 662 B 67d45f2c download
config.json 613 B 60a12f8f download
special_tokens_map.json 420 B 0d5c2c9d download

README current version from Hugging Face


base_model:

  • inflatebot/MN-12B-Mag-Mell-R1
  • Naphula/MN-12B-Mag-Mell-R1-Uncensored
    library_name: transformers
    tags:
  • mergekit
  • merge

Mag-Mell-R1-Uncensored-21B

The original Mag-Mell-R1 12B by inflatebot is a fantastic model. Few have even come close.

For a long time my goto has been Frowning's 21B Passthrough of Mag-Mell-R1. It's a little smarter than the original 12B, the larger size makes less mistakes in story details and grammar.

I hope to repeat that success on Naphula's norm-preserving biprojected abliteration of the 12B.

As inflatebot says, run this with Temp 1.25 and MinP 0.2.

GGUF Quants by mradermacher:

Merge Details

Merge Method

This model was merged using the Passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 30]
    model: Naphula/MN-12B-Mag-Mell-R1-Uncensored
- sources:
  - layer_range: [16, 32]
    model: Naphula/MN-12B-Mag-Mell-R1-Uncensored
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [16, 32]
    model: Naphula/MN-12B-Mag-Mell-R1-Uncensored
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [32, 40]
    model: Naphula/MN-12B-Mag-Mell-R1-Uncensored

README history 1 version

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

  1. 2026-05-21Duplicate from JustOnion/Mag-Mell-R1-Uncensored-21Be4a8d341.9 KB
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Discussions 1 thread

  1. 2026-08-31How is it compared to the 1.2 scaled ones, better?open1 💬#1
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