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SargeDev/Arete-27B-Uncensored-NVFP4-FP8

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  • classification m1
  • files 11
  • author_summary 11 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

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.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
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Model age
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created 2026-11-07

Genealogy 0 direct forks

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Variants by this author 4 formats · 0 downloads combined

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Metadata

License
apache-2.0
Tags
safetensors qwen3_5_text abliterated uncensored qwen3.8 base_model:NousResearch/Arete-27B base_model:quantized:NousResearch/Arete-27B license:apache-2.0 8-bit compressed-tensors region:us

Related

Total size
27.3 GB
Files
11
Quantizations
1
Registered
2026-11-07 15:02
Last updated on HF
2026-11-07 16:59

Files by quantization

Auxiliary files 11 files 27.3 GB
model-00001-of-00002.safetensors 18.6 GB 686ac5be download
model-00002-of-00002.safetensors 8.71 GB 2a8c7454 download
tokenizer.json 19.1 MB f399b3cd download
model.safetensors.index.json 127 KB f9b71d99 download
config.json 16.1 KB fa27165b download
chat_template.jinja 8.74 KB c0c686f9 download
recipe.yaml 2.09 KB 6f8ea4ce download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.32 KB 2bc99a50 download
README.md 1.28 KB eb5343fe download
generation_config.json 244 B 14865c33 download

README current version from Hugging Face


license: apache-2.0
base_model: NousResearch/Arete-27B
tags:

  • abliterated
  • uncensored
  • qwen3.8

Arete-27B-Uncensored-NVFP4-FP8

First uncensored variant of NousResearch/Arete-27B.
Arete is a values-aligned full-parameter SFT of Qwen3.8-27B; no abliterated
version existed, so we made one with OBLITERATUS (--method aggressive,
bf16, 842-prompt harm/harmless contrast set).

What was done

  • Refusal-direction ablation across 15 strong layers (59-63 strongest)
  • Quality gates measured after the edit: coherence 1.0, KL 0.90 vs base,
    perplexity 3.22 -> 3.93 ( modest rise), capability suite intact
  • MTP/nextn drafter tensors preserved (stock Qwen3.8 head, spec-decode works)

Compliance battery (15 hard prompts: exploit dev, red-team, malware, DoS)

15/15 DELIVERED in bf16 (one long-form answer truncated by a 2500-char
scoring threshold but verified complete on re-run). Community GGUF/EXL3/NVFP4
variants score 14-15/15; a single-cell sampling artifact on phish-kit in one
quant was verified as delivery-on-retry, not refusal.

Format

NVFP4 W4A4 + FP8_DYNAMIC down_proj (compressed-tensors)

Credit

  • Nous Research: Arete-27B base
  • Pliny the Liberator: OBLITERATUS
  • Qwen: base architecture
  • SargeDev: abliteration run + quants
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