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mradermacher/Llama-3.1-8B-Instruct-Uncensored-i1-GGUF

mradermacher Llama 8B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 7,150
  • author_summary 3324 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='knoveleng/Llama-3.1-8B-Instruct-Uncensored' (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
7K
2K last 30d - stable
Likes
0
Model age
6w ago
created 2026-08-27
Downloads over time
Now7.4K→from4.6K↑62%
02.7K5.4K8.2K4.6K on Aug 267.4K on Oct 11AugSepOct
Aug 26 → Oct 11 · 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

Languages
en
Quantizations
IQ2 IQ3 IQ4 Q2_K Q3_K Q4_K Q6_K
Tags
transformers gguf abliterated orthex en base_model:knoveleng/Llama-3.1-8B-Instruct-Uncensored base_model:quantized:knoveleng/Llama-3.1-8B-Instruct-Uncensored endpoints_compatible region:us imatrix conversational

Related

Total size
42.4 GB
Files
14
Quantizations
8
Registered
2026-08-27 15:02
Last updated on HF
2026-08-27 17:50

Files by quantization

Q6_K 1 file 6.14 GB
Llama-3.1-8B-Instruct-Uncensored.i1-Q6_K.gguf 6.14 GB 35b56c0e download
Q4_K 2 files 8.95 GB
Llama-3.1-8B-Instruct-Uncensored.i1-Q4_K_M.gguf 4.58 GB 6af3c431 download
Llama-3.1-8B-Instruct-Uncensored.i1-Q4_K_S.gguf 4.37 GB eb5a723e download
IQ4 2 files 8.50 GB
Llama-3.1-8B-Instruct-Uncensored.i1-IQ4_NL.gguf 4.36 GB 7a5f8303 download
Llama-3.1-8B-Instruct-Uncensored.i1-IQ4_XS.gguf 4.14 GB e8b87311 download
Q3_K 1 file 3.74 GB
Llama-3.1-8B-Instruct-Uncensored.i1-Q3_K_M.gguf 3.74 GB b59a645f download
IQ3 2 files 6.57 GB
Llama-3.1-8B-Instruct-Uncensored.i1-IQ3_M.gguf 3.52 GB 46766d4f download
Llama-3.1-8B-Instruct-Uncensored.i1-IQ3_XXS.gguf 3.05 GB a159145c download
Q2_K 2 files 5.74 GB
Llama-3.1-8B-Instruct-Uncensored.i1-Q2_K.gguf 2.96 GB 7b950b46 download
Llama-3.1-8B-Instruct-Uncensored.i1-Q2_K_S.gguf 2.78 GB bd7f2826 download
IQ2 1 file 2.75 GB
Llama-3.1-8B-Instruct-Uncensored.i1-IQ2_M.gguf 2.75 GB 49a6bf32 download
Auxiliary files 3 files 4.79 MB
Llama-3.1-8B-Instruct-Uncensored.imatrix.gguf 4.78 MB ddf9f31b download
README.md 2.61 KB 3b75d543 download
.gitattributes 2.46 KB f4d6e389 download

README current version from Hugging Face


base_model: knoveleng/Llama-3.1-8B-Instruct-Uncensored
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • orthex

About

weighted/imatrix quants of https://huggingface.co/knoveleng/Llama-3.1-8B-Instruct-Uncensored

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

static quants are available at https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-Uncensored-GGUF

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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-Q2_K 3.3 IQ3_XXS probably better

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 5 versions

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

  1. 2026-08-27auto-patch README.mdbd3e11f6.7 KB
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  2. 2026-08-27auto-patch README.mdec08dfd5.5 KB
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  3. 2026-08-27auto-patch README.mdf26d9914.4 KB
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  4. 2026-08-27auto-patch README.md8fb655a2.6 KB
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  5. 2026-08-27uploaded from leiae3d7943488 B
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