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joshebbs/gpt-oss-120b-abliterated

joshebbs Gpt-oss 118B MoE
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Response includes
  • classification m1
  • files 24
  • benchmarks 16 entries
  • hub_downloads_all_time 450
  • author_summary 3 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)
Downloads · lifetime
450
144 last 30d - stable
Likes
1
Model age
5mo ago
created 2026-04-24
Downloads over time
Now509→from6↑8,383%
01863735596 on Apr 22509 on Oct 11AprMayJunJulAugSepOct
Apr 22 → Oct 11 · 64 snapshots · spans 172 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
Arena-Battles 8335 LM-Arena
LM Arena Elo 1365.960115714145 LM-Arena
Arena-Elo-Lower 1359.0774821030143 LM-Arena
Arena-Elo-Upper 1372.842749325276 LM-Arena
Arena-Rank 28 LM-Arena
Entertainment 1.8 UGI
Hazardous 3.5 UGI
Natural Intelligence 33.68 UGI
Political lean -15.3% UGI
Sensitive-Info 19.48 UGI
SocPol 0.8 UGI
UGI 19.65 UGI
Willingness (10) 2 UGI
W10-Adherence 3 UGI
W10-Direct 1 UGI
Writing 38.52 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
safetensors gpt_oss abliterated uncensored moe gpt-oss base_model:openai/gpt-oss-120b base_model:quantized:openai/gpt-oss-120b license:apache-2.0 8-bit mxfp4 region:us

Related

Total size
60.8 GB
Files
24
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-25 00:53

Files by quantization

Auxiliary files 24 files 60.8 GB
model-00000-of-00014.safetensors 4.31 GB 2798b803 download
model-00004-of-00014.safetensors 4.31 GB 6224b1ba download
model-00008-of-00014.safetensors 4.31 GB 05cf8683 download
model-00010-of-00014.safetensors 4.31 GB 36251352 download
model-00013-of-00014.safetensors 4.31 GB bcbcb74b download
model-00002-of-00014.safetensors 4.31 GB f6cc8ba8 download
model-00006-of-00014.safetensors 4.31 GB 28d839f2 download
model-00009-of-00014.safetensors 3.88 GB 115f802c download
model-00003-of-00014.safetensors 3.83 GB a2fb619e download
model-00011-of-00014.safetensors 3.83 GB eb63acd8 download
model-00001-of-00014.safetensors 3.83 GB 2366bcfd download
model-00014-of-00014.safetensors 3.83 GB 54b1be16 download
model-00005-of-00014.safetensors 3.83 GB 0c8dd401 download
model-00012-of-00014.safetensors 3.79 GB 3af33667 download
model-00007-of-00014.safetensors 3.78 GB 47bb3e94 download
tokenizer.json 26.6 MB 0614fe83 download
model.safetensors.index.json 53.2 KB 3977c021 download
chat_template.jinja 16.3 KB dc7bb119 download
tokenizer_config.json 4.10 KB c021cddb download
config.json 2.04 KB 42300b89 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.27 KB a39e9295 download
generation_config.json 177 B 86f91466 download
special_tokens_map.json 98.0 B 73bd12e5 download

README current version from Hugging Face


license: apache-2.0
base_model: openai/gpt-oss-120b
tags:

  • abliterated
  • uncensored
  • moe
  • gpt-oss

GPT-OSS 120B Abliterated

Abliterated version of openai/gpt-oss-120b with refusal directions removed from layers 13-25.

What is Abliteration?

Abliteration removes the refusal direction from model weights using norm-preserving biprojected abliteration. This allows the model to respond to all prompts without explicit refusal, while preserving model quality. See the abliteration blog post for details.

Model Details

  • Base Model: openai/gpt-oss-120b (Apache 2.0)
  • Architecture: MoE, 120B total params, 5.1B active per token
  • Format: Safetensors (original precision)
  • Abliterated Layers: 13-25 (refusal direction removed)
  • Method: jim-plus/llm-abliteration with projected measurement

Usage

Works as a drop-in replacement for gpt-oss-120b with any compatible serving framework (vLLM, SGLang, etc.).

vllm serve joshebbs/gpt-oss-120b-abliterated --quantization mxfp4

Hardware

Tested on 2x NVIDIA DGX Spark (GB10) with TP=2 achieving 57-59 tok/s decode with MXFP4 quantization.

README history 1 version

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

  1. 2026-04-24Upload README.md with huggingface_hub6880dba1.3 KB
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