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mradermacher/llama-lexi-star-uncensored-8b-slerp-GGUF

mradermacher Llama 8B GGUF second-order 8K 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 3,830
  • 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='liminerity/llama-lexi-star-uncensored-8b-slerp' (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
4K
395 last 30d - stable
Likes
1
Model age
20mo ago
created 2025-01-22
Downloads over time
Now4K→from398↑899%
1411.5K2.9K4.3K398 on Jan 22, 20254K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 22, 2025 → Oct 11 · 129 snapshots · spans 627 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.

Metadata

Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf merge mergekit lazymergekit Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1 liminerity/llama-3-8b-silent-star en base_model:liminerity/llama-lexi-star-uncensored-8b-slerp base_model:quantized:liminerity/llama-lexi-star-uncensored-8b-slerp endpoints_compatible region:us

Related

Total size
66.9 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-07-31 20:36

Files by quantization

F16 1 file 15.0 GB
llama-lexi-star-uncensored-8b-slerp.f16.gguf 15.0 GB 0efb2079 download
Q8_0 1 file 7.95 GB
llama-lexi-star-uncensored-8b-slerp.Q8_0.gguf 7.95 GB 8ce861c9 download
Q6_K 1 file 6.14 GB
llama-lexi-star-uncensored-8b-slerp.Q6_K.gguf 6.14 GB c1fe3542 download
Q5_K 2 files 10.6 GB
llama-lexi-star-uncensored-8b-slerp.Q5_K_M.gguf 5.34 GB 22a9240e download
llama-lexi-star-uncensored-8b-slerp.Q5_K_S.gguf 5.21 GB b64edf37 download
Q4_K 2 files 8.95 GB
llama-lexi-star-uncensored-8b-slerp.Q4_K_M.gguf 4.58 GB fffa11a4 download
llama-lexi-star-uncensored-8b-slerp.Q4_K_S.gguf 4.37 GB 2fecb16c download
IQ4 1 file 4.18 GB
llama-lexi-star-uncensored-8b-slerp.IQ4_XS.gguf 4.18 GB 855c04b9 download
Q3_K 3 files 11.2 GB
llama-lexi-star-uncensored-8b-slerp.Q3_K_L.gguf 4.03 GB 325115eb download
llama-lexi-star-uncensored-8b-slerp.Q3_K_M.gguf 3.74 GB e335668e download
llama-lexi-star-uncensored-8b-slerp.Q3_K_S.gguf 3.41 GB e9e8b45b download
Q2_K 1 file 2.96 GB
llama-lexi-star-uncensored-8b-slerp.Q2_K.gguf 2.96 GB 078db91b download
Auxiliary files 2 files 6.48 KB
README.md 4.02 KB f90a1a9c download
.gitattributes 2.46 KB 345eac52 download

README current version from Hugging Face


base_model: liminerity/llama-lexi-star-uncensored-8b-slerp
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • merge
  • mergekit
  • lazymergekit
  • Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1
  • liminerity/llama-3-8b-silent-star

About

static quants of https://huggingface.co/liminerity/llama-lexi-star-uncensored-8b-slerp

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 3.3
GGUF Q3_K_S 3.8
GGUF Q3_K_M 4.1 lower quality
GGUF Q3_K_L 4.4
GGUF IQ4_XS 4.6
GGUF Q4_K_S 4.8 fast, recommended
GGUF Q4_K_M 5.0 fast, recommended
GGUF Q5_K_S 5.7
GGUF Q5_K_M 5.8
GGUF Q6_K 6.7 very good quality
GGUF Q8_0 8.6 fast, best quality
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 4 versions

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

  1. 2025-07-31auto-patch README.md2620cf54 KB
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  2. 2025-01-22auto-patch README.mdfb39e2f4.1 KB
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  3. 2025-01-22auto-patch README.md80fc2423.4 KB
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  4. 2025-01-22uploaded from nico145ee599236 B
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