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QuixiAI/Llama-3-8B-Instruct-abliterated-v2

QuixiAI Llama 8.0B
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/QuixiAI%2FLlama-3-8B-Instruct-abliterated-v2"
Response includes
  • classification m1
  • files 12
  • hub_downloads_all_time 241,439
  • providers 1
  • author_summary 15 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
241K
9K last 30d - cooling
Likes
29
Descendants
2
in 2 direct forks
Model age
2.4y ago
created 2024-05-09
Available via
1 provider
featherless-ai
Downloads over time
Now244.7K→from115.1K↑113%
108.6K158.3K208K257.7K115.1K on Jul 16, 2025244.7K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 16, 2025 → Oct 11 · 109 snapshots · spans 452 days

Genealogy 2 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.

Variants by this author 2 formats · 9K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
llama3
Tags
transformers safetensors llama text-generation conversational license:llama3 text-generation-inference endpoints_compatible region:us

Related

Total size
15.0 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-05-12 17:50

Files by quantization

Auxiliary files 12 files 15.0 GB
model-00002-of-00004.safetensors 4.66 GB ac38ed4b download
model-00001-of-00004.safetensors 4.63 GB 9422ee6f download
model-00003-of-00004.safetensors 4.58 GB 6cc032e4 download
model-00004-of-00004.safetensors 1.09 GB 10fd99e8 download
tokenizer.json 8.66 MB b197f72e download
tokenizer_config.json 49.8 KB 1bfd1146 download
model.safetensors.index.json 23.4 KB 0fd8120f download
README.md 1.63 KB 9a556e29 download
.gitattributes 1.48 KB a6344aac download
config.json 733 B 930b5623 download
generation_config.json 199 B 74cd7580 download
special_tokens_map.json 73.0 B d8cd5076 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.

Availability

How to Use

This model is available for use in the Transformers library.
GGUF Quants are available here.

README history 3 versions

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

  1. 2024-05-09Update README.md4c4c3cc1.6 KB
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  2. 2024-05-09Update README.md24d0a3a1.9 KB
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  3. 2024-05-09Create README.mde0b0d081.9 KB
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Discussions 8 threads

  1. 2026-01-22PRUpdate README.mdopen1 💬#8
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  2. 2025-01-23Which model?open1 💬#7
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  3. 2024-05-23PRAdding Evaluation Resultsopen1 💬#6
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  4. 2024-05-17Do you plan on making an abliterated version of with a higher context size?open1 💬#5
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  5. 2024-05-13exl2 quantsopen1 💬#4
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  6. 2024-05-12PRUpdate tokenizer_config.jsonmerged2 💬#3
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  7. 2024-05-10Plans for doing the 70B as well?open2 💬#2
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  8. 2024-05-09Hallucinations?closed16 💬#1
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