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mradermacher/L3.1-4x8b_BlackTower_RP-V1.1-Uncensored-i1-GGUF

mradermacher Llama GGUF MoE second-order 8K ctx
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Response includes
  • classification m8
  • files 25
  • hub_downloads_all_time 5,365
  • 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='Dunjeon/L3.1-4x8b_BlackTower_RP-V1.1-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.

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Downloads · lifetime
5K
966 last 30d - stable
Likes
1
Model age
19mo ago
created 2025-02-23
Downloads over time
Now5.5K→from623↑783%
3792.2K4.1K6K623 on Feb 19, 20255.5K on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 19, 2025 → Oct 11 · 125 snapshots · spans 599 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 · 1K downloads combined

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

Metadata

License
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf text-generation-inference llama Uncensored Role-Play RP ERP Erotic Grim-Dark Horror MOE

Related

Total size
248 GB
Files
25
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-02-23 19:35

Files by quantization

Q6_K 1 file 19.1 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q6_K.gguf 19.1 GB 933b0afc download
Q5_K 2 files 32.6 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q5_K_M.gguf 16.5 GB 4f752b15 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q5_K_S.gguf 16.0 GB 155337a8 download
Q4 2 files 27.9 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q4_1.gguf 14.6 GB cb9eca06 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q4_0.gguf 13.3 GB d78e0502 download
Q4_K 2 files 27.4 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q4_K_M.gguf 14.1 GB b395526b download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q4_K_S.gguf 13.3 GB d0b0c28d download
IQ4 1 file 12.5 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ4_XS.gguf 12.5 GB 0c357dd5 download
Q3_K 3 files 33.6 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q3_K_L.gguf 12.1 GB f1f2ffdc download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q3_K_M.gguf 11.3 GB fd425109 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q3_K_S.gguf 10.2 GB a0a4a1ad download
IQ3 4 files 39.3 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ3_M.gguf 10.4 GB e5e54fc6 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ3_S.gguf 10.2 GB 3d8788d7 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ3_XS.gguf 9.68 GB b45e7dd9 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ3_XXS.gguf 9.08 GB eb085e14 download
Q2_K 2 files 16.8 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q2_K.gguf 8.66 GB 58529e8c download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-Q2_K_S.gguf 8.11 GB 22560a4b download
IQ2 4 files 28.4 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ2_M.gguf 7.86 GB f8922801 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ2_S.gguf 7.22 GB 26584ce2 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ2_XS.gguf 7.01 GB 1ac61a77 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ2_XXS.gguf 6.34 GB 5c981799 download
IQ1 2 files 10.6 GB
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ1_M.gguf 5.53 GB 52db2e07 download
L3.1-4x8b_BlackTower_RP-V1.1-Uncensored.i1-IQ1_S.gguf 5.05 GB 5c84938a download
Auxiliary files 2 files 9.95 KB
README.md 6.44 KB 1fb0dc45 download
.gitattributes 3.52 KB 6ac715b8 download

README current version from Hugging Face


base_model: Dunjeon/L3.1-4x8b_BlackTower_RP-V1.1-Uncensored
language:

  • en
    library_name: transformers
    license: apache-2.0
    model_name: The BlackTower 4x8b
    model_type: Mixture of Experts (MoE)
    quantized_by: mradermacher
    tags:
  • text-generation-inference
  • transformers
  • llama
  • Uncensored
  • Role-Play
  • RP
  • ERP
  • Erotic
  • Grim-Dark
  • Horror
  • MOE
  • Mixture-of-Experts
  • 4x8
  • 4x8b
  • Llama-3.1

About

weighted/imatrix quants of https://huggingface.co/Dunjeon/L3.1-4x8b_BlackTower_RP-V1.1-Uncensored

static quants are available at https://huggingface.co/mradermacher/L3.1-4x8b_BlackTower_RP-V1.1-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 i1-IQ1_S 5.5 for the desperate
GGUF i1-IQ1_M 6.0 mostly desperate
GGUF i1-IQ2_XXS 6.9
GGUF i1-IQ2_XS 7.6
GGUF i1-IQ2_S 7.8
GGUF i1-IQ2_M 8.5
GGUF i1-Q2_K_S 8.8 very low quality
GGUF i1-Q2_K 9.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 9.9 lower quality
GGUF i1-IQ3_XS 10.5
GGUF i1-Q3_K_S 11.0 IQ3_XS probably better
GGUF i1-IQ3_S 11.1 beats Q3_K*
GGUF i1-IQ3_M 11.2
GGUF i1-Q3_K_M 12.2 IQ3_S probably better
GGUF i1-Q3_K_L 13.1 IQ3_M probably better
GGUF i1-IQ4_XS 13.5
GGUF i1-Q4_0 14.3 fast, low quality
GGUF i1-Q4_K_S 14.4 optimal size/speed/quality
GGUF i1-Q4_K_M 15.3 fast, recommended
GGUF i1-Q4_1 15.8
GGUF i1-Q5_K_S 17.3
GGUF i1-Q5_K_M 17.8
GGUF i1-Q6_K 20.6 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 2 versions

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

  1. 2025-02-23auto-patch README.mde7209d66.4 KB
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  2. 2025-02-23uploaded from nico1b36c444255 B
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