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Kasi215/llama-3-70B-Instruct-abliterated

Kasi215 Llama 71B
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Response includes
  • classification m1
  • files 41
  • hub_downloads_all_time 80
  • author_summary 1 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
80
10 last 30d - stable
Likes
0
Model age
2mo ago
created 2026-07-27
Downloads over time
Now84→from30↑180%
2748698930 on Jul 2984 on Oct 1184 on Oct 7JulAugSepOct
Jul 29 → Oct 11 · 51 snapshots · spans 74 days

Metadata

License
llama3
Tags
transformers safetensors llama text-generation conversational license:llama3 text-generation-inference endpoints_compatible region:us
Total size
131 GB
Files
41
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-27 22:35

Files by quantization

Auxiliary files 41 files 131 GB
model-00008-of-00030.safetensors 4.66 GB f5573b4b download
model-00013-of-00030.safetensors 4.66 GB d834a8d0 download
model-00018-of-00030.safetensors 4.66 GB dfdfbc03 download
model-00023-of-00030.safetensors 4.66 GB 3fb5b337 download
model-00028-of-00030.safetensors 4.66 GB 3a7c691d download
model-00003-of-00030.safetensors 4.66 GB a3a34ac6 download
model-00029-of-00030.safetensors 4.63 GB b01c27dd download
model-00009-of-00030.safetensors 4.63 GB ccb17068 download
model-00014-of-00030.safetensors 4.63 GB 0366feaf download
model-00019-of-00030.safetensors 4.63 GB 3731dc19 download
model-00024-of-00030.safetensors 4.63 GB c05e9cd1 download
model-00004-of-00030.safetensors 4.63 GB 4ab2e5bc download
model-00006-of-00030.safetensors 4.34 GB 8d7fbc15 download
model-00007-of-00030.safetensors 4.34 GB 2ffd5faa download
model-00011-of-00030.safetensors 4.34 GB 1f5cde63 download
model-00012-of-00030.safetensors 4.34 GB 469cdafe download
model-00016-of-00030.safetensors 4.34 GB 480a2e13 download
model-00017-of-00030.safetensors 4.34 GB a3ca7e1d download
model-00021-of-00030.safetensors 4.34 GB 4d310912 download
model-00022-of-00030.safetensors 4.34 GB 8c3d16b9 download
model-00026-of-00030.safetensors 4.34 GB 748499e8 download
model-00027-of-00030.safetensors 4.34 GB 8f563045 download
model-00002-of-00030.safetensors 4.34 GB 821908ef download
model-00005-of-00030.safetensors 4.34 GB 4f4127aa download
model-00010-of-00030.safetensors 4.34 GB 5c63f29d download
model-00015-of-00030.safetensors 4.34 GB 7a0f2de0 download
model-00020-of-00030.safetensors 4.34 GB d522d6f2 download
model-00025-of-00030.safetensors 4.34 GB 1a3e2292 download
model-00001-of-00030.safetensors 4.27 GB 68002021 download
model-00030-of-00030.safetensors 1.96 GB 55298e57 download
refusal_dir.pth 16.7 KB ed026997 download
tokenizer.json 8.66 MB b197f72e download
ortho_cookbook.ipynb 149 KB c0bbcd68 download
model.safetensors.index.json 58.2 KB 37b1afe6 download
tokenizer_config.json 49.8 KB 870479e3 download
LICENSE 7.62 KB 4c763399 download
README.md 2.12 KB 0a1c4535 download
.gitattributes 1.48 KB a6344aac download
config.json 708 B 8a745d53 download
generation_config.json 194 B 80168530 download
special_tokens_map.json 73.0 B d8cd5076 download

README current version from Hugging Face


license: llama3
license_name: llama3
license_link: LICENSE
library_name: transformers

Llama-3-70B-Instruct-abliterated Model Card

This is meta-llama/Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with the methodology that was described in the preview paper/blog post: 'Refusal in LLMs is mediated by a single direction' which I encourage you to read to understand more.

TL;DR: this model has had certain weights manipulated to "inhibit" the model's ability to express refusal. It is not in anyway guaranteed that it won't refuse you, understand your request, it may still lecture you about ethics/safety, etc. It is tuned in all other respects the same as the original 70B instruct model was, just with the strongest refusal direction orthogonalized out.

Quants

GGUF Quants available here

For the people who like tinkering or looking to save bandwidth

In the repo, I've included refusal_dir.pth
If you have Llama-3-70B-Instruct model downloaded already, you can use the ortho cookbook to apply it to your downloaded model, which will make it the same as what you'd download from here.

Quirkiness awareness notice

This model may come with interesting quirks, as I obviously haven't extensively tested it, and the methodology being so new. I encourage you to play with the model, and post any quirks you notice in the community tab, as that'll help us further understand what this orthogonalization has in the way of side effects. The code I used to generate it (and my published 'Kappa-3' model which is just Phi-3 with the same methodology applied) is available in a Python notebook in this repo. Specifically, the ortho_cookbook.ipynb.

If you manage to develop further improvements, please share! This is really the most primitive way to use ablation, but there are other possibilities that I believe are as-yet unexplored.

README history 1 version

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

  1. 2026-07-27Duplicate from failspy/llama-3-70B-Instruct-abliterated45026b02.1 KB
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