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Rrrah/Llama-3-8B-Instruct-abliterated-v2-gguf

Rrrah Llama 8B GGUF 8K ctx
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Response includes
  • classification m8
  • files 8
  • hub_downloads_all_time 1,713
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
2K
21 last 30d - cooling
Likes
0
Model age
6mo ago
created 2026-04-04
Downloads over time
Now1.7K→from1.6K↑8%
1.6K1.6K1.7K1.7K1.6K on Apr 151.7K on Oct 111.7K on Oct 10AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Metadata

License
llama3
Tags
transformers gguf license:llama3 endpoints_compatible region:us conversational
Total size
42.7 GB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-04 17:10

Files by quantization

Auxiliary files 8 files 42.7 GB
Llama-3-8B-Instruct-abliterated-v2.gguf 15.0 GB f1a2a1df download
Llama-3-8B-Instruct-abliterated-v2_q8.gguf 7.95 GB b380955a download
Llama-3-8B-Instruct-abliterated-v2_q6.gguf 6.14 GB 429fcac7 download
Llama-3-8B-Instruct-abliterated-v2_q5.gguf 5.34 GB e85a4039 download
Llama-3-8B-Instruct-abliterated-v2_q4.gguf 4.58 GB cf9385da download
Llama-3-8B-Instruct-abliterated-v2_q3.gguf 3.74 GB fc022309 download
.gitattributes 1.94 KB 84b2e467 download
README.md 1.43 KB f755f8b2 download

README current version from Hugging Face


library_name: transformers
license: llama3

Model Card for Llama-3-8B-Instruct-abliterated-v2

Overview

This model card describes the Llama-3-8B-Instruct-abliterated-v2 model, which is an orthogonalized version of the meta-llama/Llama-3-8B-Instruct model, and an improvement upon the previous generation Llama-3-8B-Instruct-abliterated. This variant has had certain weights manipulated to inhibit the model's ability to express refusal.

Join the Cognitive Computations Discord!

Details

  • The model was trained with more data to better pinpoint the "refusal direction".
  • This model is MUCH better at directly and succinctly answering requests without producing even so much as disclaimers.

Methodology

The methodology used to generate this model is described in the preview paper/blog post: 'Refusal in LLMs is mediated by a single direction'

Quirks and Side Effects

This model may come with interesting quirks, as the methodology is still new and untested. The code used to generate the model is available in the Python notebook ortho_cookbook.ipynb.
Please note that the model may still refuse to answer certain requests, even after the weights have been manipulated to inhibit refusal.

README history 1 version

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

  1. 2026-04-04Duplicate from QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguff76e77d1.4 KB
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