← back to catalog · registered 2026-09-07 11:55

mradermacher/Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED-GGUF

mradermacher Llama 8B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 2,322
  • author_summary 3394 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
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='OBLITERATUS/Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED' (base has 'abliterated' marker, assume M1 default)
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
852 last 30d - stable
Likes
1
Model age
6w ago
created 2026-09-07
Downloads over time
Now3K→from0↑0%
01.1K2.2K3.3K0 on Sep 73K on Oct 23SepOct
Sep 7 → Oct 23 · 47 snapshots · spans 46 days

Genealogy 0 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 · 3K downloads combined

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

Metadata

Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf obliteratus abliteration uncensored obliterate en base_model:OBLITERATUS/Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED base_model:quantized:OBLITERATUS/Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED endpoints_compatible region:us conversational

Related

Total size
66.9 GB
Files
14
Quantizations
9
Registered
2026-09-07 11:55
Last updated on HF
2026-09-07 12:07

Files by quantization

F16 1 file 15.0 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.f16.gguf 15.0 GB 1b7418f7 download
Q8_0 1 file 7.95 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q8_0.gguf 7.95 GB 68ddb399 download
Q6_K 1 file 6.14 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q6_K.gguf 6.14 GB d939d8cf download
Q5_K 2 files 10.6 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q5_K_M.gguf 5.34 GB 2ca4999b download
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q5_K_S.gguf 5.21 GB 386eda0c download
Q4_K 2 files 8.95 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q4_K_M.gguf 4.58 GB 025d88a8 download
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q4_K_S.gguf 4.37 GB 1ff0c05d download
IQ4 1 file 4.18 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.IQ4_XS.gguf 4.18 GB b83ab7c3 download
Q3_K 3 files 11.2 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q3_K_L.gguf 4.03 GB 82a5b372 download
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q3_K_M.gguf 3.74 GB 9884c0a4 download
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q3_K_S.gguf 3.41 GB a5bc962d download
Q2_K 1 file 2.96 GB
Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED.Q2_K.gguf 2.96 GB 637cf4f3 download
Auxiliary files 2 files 5.20 KB
README.md 2.65 KB 1a9a12ce download
.gitattributes 2.55 KB 53c6e192 download

README current version from Hugging Face


base_model: OBLITERATUS/Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED
language: en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:

  • obliteratus
  • abliteration
  • uncensored
  • obliterate

About

static quants of https://huggingface.co/OBLITERATUS/Llama-3.1-8B-Lexi-Uncensored-V2-OBLITERATED

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 Q3_K_S 3.8
GGUF Q4_K_S 4.8 fast, recommended
GGUF f16 16.2 16 bpw, overkill

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 3 versions

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

  1. 2026-09-07auto-patch README.mdd0428a84.2 KB
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  2. 2026-09-07auto-patch README.mdfb91bff2.6 KB
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  3. 2026-09-07uploaded from marco301aca7398 B
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