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AntraxSS/Llama-3.1-70B-Instruct-abliterated-GGUF

AntraxSS Llama 70B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 18
  • hub_downloads_all_time 1,508
  • 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.

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Downloads · lifetime
2K
234 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-29
Downloads over time
Now1.6K→from648↑140%
6039511.3K1.6K648 on Apr 11.6K on Oct 11AprMayJunJulAugSepOct
Apr 1 → Oct 11 · 67 snapshots · spans 193 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
llama3.1
Languages
en de fr it pt hi es th
Quantizations
IQ3 IQ4 Q2_K Q3_K Q4_K Q5_K
Tags
transformers gguf facebook meta pytorch llama llama-3 en de fr it pt

Related

Total size
410 GB
Files
18
Quantizations
7
Registered
2026-08-22 13:56
Last updated on HF
2026-03-29 06:52

Files by quantization

Q5_K 2 files 91.8 GB
Llama-3.1-70B-Instruct-abliterated.Q5_K_M.gguf 46.5 GB 5733127e download
Llama-3.1-70B-Instruct-abliterated.Q5_K_S.gguf 45.3 GB af901c1e download
Q4_K 2 files 77.2 GB
Llama-3.1-70B-Instruct-abliterated.Q4_K_M.gguf 39.6 GB 90de36e5 download
Llama-3.1-70B-Instruct-abliterated.Q4_K_S.gguf 37.6 GB 48289276 download
IQ4 1 file 35.6 GB
Llama-3.1-70B-Instruct-abliterated.IQ4_XS.gguf 35.6 GB 52947320 download
Q3_K 3 files 95.3 GB
Llama-3.1-70B-Instruct-abliterated.Q3_K_L.gguf 34.6 GB 27f62629 download
Llama-3.1-70B-Instruct-abliterated.Q3_K_M.gguf 31.9 GB 8639635d download
Llama-3.1-70B-Instruct-abliterated.Q3_K_S.gguf 28.8 GB 1465a8d6 download
IQ3 3 files 85.8 GB
Llama-3.1-70B-Instruct-abliterated.IQ3_M.gguf 29.7 GB d7289f50 download
Llama-3.1-70B-Instruct-abliterated.IQ3_S.gguf 28.8 GB a6604fca download
Llama-3.1-70B-Instruct-abliterated.IQ3_XS.gguf 27.3 GB 92581ae5 download
Q2_K 1 file 24.6 GB
Llama-3.1-70B-Instruct-abliterated.Q2_K.gguf 24.6 GB 7c7aa688 download
Auxiliary files 6 files 124 GB
Llama-3.1-70B-Instruct-abliterated.Q8_0.gguf.part1of2 35.0 GB 8f743f2a download
Llama-3.1-70B-Instruct-abliterated.Q8_0.gguf.part2of2 34.8 GB 44e83023 download
Llama-3.1-70B-Instruct-abliterated.Q6_K.gguf.part1of2 27.0 GB 06ea1977 download
Llama-3.1-70B-Instruct-abliterated.Q6_K.gguf.part2of2 26.9 GB 4925e08b download
README.md 17.4 KB bffe22fe download
.gitattributes 2.80 KB bbf5cf8b download

README current version from Hugging Face


base_model: mylesgoose/Llama-3.1-70B-Instruct-abliterated
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Job title:
options:
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- AI researcher
- AI developer/engineer
- Reporter
- Other
type: select
Last Name: text
geo: ip_location
extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version
Release Date: July 23, 2024\n"Agreement" means the terms and conditions for use,
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or your employer or any other person or entity (if you are entering into this Agreement
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including, but not limited to, financial, legal, medical/health, or related professional
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and eating disorders\n 6. Any content intended to incite or promote violence,
abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive
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or further distributing spam\n 4. Impersonating another individual without consent,
authorization, or legal right\n 5. Representing that the use of Llama 3.1 or
outputs are human-generated\n 6. Generating or facilitating false online engagement,
including fake reviews and other means of fake online engagement\n4. Fail to appropriately
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language:

  • en
  • de
  • fr
  • it
  • pt
  • hi
  • es
  • th
    library_name: transformers
    license: llama3.1
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • facebook
  • meta
  • pytorch
  • llama
  • llama-3

About

static quants of https://huggingface.co/mylesgoose/Llama-3.1-70B-Instruct-abliterated

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF Q2_K 26.5
GGUF IQ3_XS 29.4
GGUF IQ3_S 31.0 beats Q3_K*
GGUF Q3_K_S 31.0
GGUF IQ3_M 32.0
GGUF Q3_K_M 34.4 lower quality
GGUF Q3_K_L 37.2
GGUF IQ4_XS 38.4
GGUF Q4_K_S 40.4 fast, recommended
GGUF Q4_K_M 42.6 fast, recommended
GGUF Q5_K_S 48.8
GGUF Q5_K_M 50.0
PART 1 PART 2 Q6_K 58.0 very good quality
PART 1 PART 2 Q8_0 75.1 fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.

README history 1 version

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

  1. 2026-03-29Duplicate from mradermacher/Llama-3.1-70B-Instruct-abliterated-GGUFd716fe517.4 KB
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