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SicariusSicariiStuff/Llama-3.3-8B-Instruct-128K_Abliterated

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Response includes
  • classification m1
  • files 13
  • benchmarks 11 entries
  • hub_downloads_all_time 1,056
  • author_summary 75 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
1K
53 last 30d - cooling
Likes
18
Descendants
11
in 11 direct forks
Model age
9mo ago
created 2026-01-05
Downloads over time
Now1.1K→from180↑498%
1354798231.2K180 on Jan 71.1K on Oct 11JanMarMayJulSep
Jan 7 → Oct 11 · 79 snapshots · spans 277 days

Benchmarks

Benchmark Score Source
Entertainment 1.7 UGI
Hazardous 1.8 UGI
Natural Intelligence 16.56 UGI
Political lean -13.1% UGI
Sensitive-Info 19.78 UGI
SocPol 2.4 UGI
UGI 39.02 UGI
Willingness (10) 7.8 UGI
W10-Adherence 7.5 UGI
W10-Direct 8 UGI
Writing 12.27 UGI

Genealogy 11 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
llama3.3
Languages
en
Tags
safetensors llama en base_model:shb777/Llama-3.3-8B-Instruct-128K base_model:finetune:shb777/Llama-3.3-8B-Instruct-128K license:llama3.3 region:us

Related

Total size
15.0 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-01-26 23:39

Files by quantization

Auxiliary files 13 files 15.0 GB
model-00002-of-00004.safetensors 4.66 GB feeb6bc7 download
model-00001-of-00004.safetensors 4.63 GB e0a8d21a download
model-00003-of-00004.safetensors 4.58 GB 51b03991 download
model-00004-of-00004.safetensors 1.09 GB 1d1b8a1d download
tokenizer.json 16.4 MB 8fc5ed64 download
tokenizer_config.json 49.4 KB 0a7abd59 download
model.safetensors.index.json 23.4 KB 5c64f1e8 download
chat_template.jinja 4.51 KB e76734d6 download
README.md 3.12 KB 15093774 download
.gitattributes 1.58 KB 1d439c12 download
config.json 834 B 83612bd2 download
special_tokens_map.json 325 B b43be966 download
generation_config.json 208 B 74d5f8f4 download

README current version from Hugging Face


license: llama3.3
language:

base_model:

  • shb777/Llama-3.3-8B-Instruct-128K

Llama-3.3-8B-Instruct-128K
Abliterated

Developed by: SicariusSicariiStuff

Llama-3.3-8B-Instruct-128K_Abliterated is an abliterated variant of Meta's Llama 3.3 8B Instruct model with surgical removal of refusal mechanisms. This model maintains the full 128K context window while eliminating safety guardrails through orthogonalization techniques.

KL divergence

<0.005

Refusals

~5%

What is KL divergence?

Think about it as a way to measure the variance between the original model "World Model," vs the abliterated one; the lower the KL divergence, the closer the "World Model" of the two models to each other.

If the original model thinks making pineapple pizza is a crime against humanity (it is), then the abliterated model will still hold to this belief, but if asked how to make one (probably after giving you a disclaimer about what an abomination that is), it would still tell you how. In other words, most of the knowledge, quirks, and capabilities are preserved.

Notice:

This is based on leaked weights.

LIKELY inherits the Lllama 3 \ 3.3 license,


Technical Specs

  • Base Model: Meta Llama 3.3 8B Instruct (128K variant)
  • Parameters: 8B
  • Context Length: 128K tokens
  • Architecture: Llama (decoder-only transformer)
  • Precision: bf16
  • Method: Orthogonalization-based abliteration
  • License: Llama 3 Community License

Methodology

  1. Identifies refusal direction vectors in activation space
  2. Orthogonalizes weights to inhibit activation along these directions
  3. Preserves (mostly) all other model behaviors and knowledge

Model Details

  • Intended use: General Tasks.

  • Censorship level: Low - Very Low

  • 7.8 / 10 (10 completely uncensored)

UGI score:


Citation Information

@llm{Llama-3.3-8B-Instruct-128K_Abliterated,
  author = {SicariusSicariiStuff},
  title = {Llama-3.3-8B-Instruct-128K_Abliterated},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/SicariusSicariiStuff/Llama-3.3-8B-Instruct-128K_Abliterated}
}

Other stuff

README history 10 versions

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

  1. 2026-01-26Update README.md52830093.1 KB
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  6. 2026-01-06Update README.mddfd00b12.5 KB
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  7. 2026-01-05Add base model to readme metadata (#1)b6db6352.2 KB
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  8. 2026-01-05Update README.mdade61982.1 KB
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  9. 2026-01-05Update README.mdbe06ee21.9 KB
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  10. 2026-01-05initial commit2642db126 B
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Discussions 1 thread

  1. 2026-01-05PRAdd base model to readme metadatamerged2 💬#1
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