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mradermacher/LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B-i1-GGUF

mradermacher Llama 16.5B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 8,914
  • 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='DavidAU/LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B' (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.

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Downloads · lifetime
9K
756 last 30d - cooling
Likes
2
Model age
18mo ago
created 2025-04-19
Downloads over time
Now9.1K→from290↑3,022%
03.3K6.6K9.9K290 on Apr 16, 20259.1K on Oct 11Apr '25Jul '25Oct '25JanAprJulOct
Apr 16, 2025 → Oct 11 · 117 snapshots · spans 543 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.

Variants by this author 2 formats · 929 downloads combined

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

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf mergekit merge llama 3.1 llama-3 llama3 llama-3.1 en endpoints_compatible region:us imatrix

Related

Total size
176 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 05:08

Files by quantization

Q6_K 1 file 12.6 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q6_K.gguf 12.6 GB 796978a6 download
Q5_K 2 files 21.6 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q5_K_M.gguf 10.9 GB cdb99cfa download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q5_K_S.gguf 10.7 GB 93bc7647 download
Q4 2 files 18.6 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q4_1.gguf 9.73 GB e57977cb download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q4_0.gguf 8.83 GB 34f21bff download
Q4_K 2 files 18.2 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q4_K_M.gguf 9.33 GB bba10302 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q4_K_S.gguf 8.86 GB e8744a2a download
IQ4 2 files 17.2 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ4_NL.gguf 8.83 GB 4f3ff5a9 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ4_XS.gguf 8.38 GB 2d6d7507 download
Q3_K 3 files 22.5 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q3_K_L.gguf 8.18 GB f54e45e0 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q3_K_M.gguf 7.55 GB 9ff6d12e download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q3_K_S.gguf 6.82 GB 2d95b107 download
IQ3 4 files 26.5 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ3_M.gguf 7.06 GB 29ff9aed download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ3_S.gguf 6.85 GB 4a4912d9 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ3_XS.gguf 6.51 GB 28f14334 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ3_XXS.gguf 6.09 GB 4b3bc4f0 download
Q2_K 2 files 11.3 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q2_K.gguf 5.88 GB 5266f0b0 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-Q2_K_S.gguf 5.47 GB a713ee0f download
IQ2 4 files 19.5 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ2_M.gguf 5.41 GB 6c988040 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ2_S.gguf 5.02 GB 3e05c6ff download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ2_XS.gguf 4.77 GB 83407f21 download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ2_XXS.gguf 4.34 GB 5d152b49 download
IQ1 2 files 7.40 GB
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ1_M.gguf 3.85 GB dac46d3e download
LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B.i1-IQ1_S.gguf 3.55 GB e6b96bdb download
Auxiliary files 3 files 10.6 MB
imatrix.dat 10.6 MB 90752368 download
README.md 7.99 KB 8d48944a download
.gitattributes 4.28 KB 79a5aa09 download

README current version from Hugging Face


base_model: DavidAU/LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • mergekit
  • merge
  • llama 3.1
  • llama-3
  • llama3
  • llama-3.1

About

weighted/imatrix quants of https://huggingface.co/DavidAU/LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B

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

static quants are available at https://huggingface.co/mradermacher/LLama-3.1-128k-Uncensored-Stheno-Maid-Blackroot-Grand-HORROR-16.5B-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 i1-IQ1_S 3.9 for the desperate
GGUF i1-IQ1_M 4.2 mostly desperate
GGUF i1-IQ2_XXS 4.8
GGUF i1-IQ2_XS 5.2
GGUF i1-IQ2_S 5.5
GGUF i1-IQ2_M 5.9
GGUF i1-Q2_K_S 6.0 very low quality
GGUF i1-Q2_K 6.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 6.6 lower quality
GGUF i1-IQ3_XS 7.1
GGUF i1-Q3_K_S 7.4 IQ3_XS probably better
GGUF i1-IQ3_S 7.5 beats Q3_K*
GGUF i1-IQ3_M 7.7
GGUF i1-Q3_K_M 8.2 IQ3_S probably better
GGUF i1-Q3_K_L 8.9 IQ3_M probably better
GGUF i1-IQ4_XS 9.1
GGUF i1-Q4_0 9.6 fast, low quality
GGUF i1-IQ4_NL 9.6 prefer IQ4_XS
GGUF i1-Q4_K_S 9.6 optimal size/speed/quality
GGUF i1-Q4_K_M 10.1 fast, recommended
GGUF i1-Q4_1 10.5
GGUF i1-Q5_K_S 11.5
GGUF i1-Q5_K_M 11.8
GGUF i1-Q6_K 13.7 practically like static Q6_K

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. 2025-07-11auto-patch README.mdff5f7488 KB
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  2. 2025-07-10auto-patch README.mdf4e106a7.9 KB
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  3. 2025-05-28auto-patch README.md666bcef7.8 KB
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  4. 2025-04-19auto-patch README.mdad79e707.7 KB
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  5. 2025-04-19uploaded from marcof13a072282 B
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Discussions 1 thread

  1. 2026-05-04Safe but unusableopen1 💬#1
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