← back to catalog · registered 2026-08-22 13:56

mradermacher/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-GGUF

mradermacher Llama 8B GGUF second-order 131K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FDarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-GGUF"
Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 7,262
  • author_summary 3324 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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='aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-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
568 last 30d - cooling
Likes
2
Model age
11mo ago
created 2025-11-14
Downloads over time
Now7.4K→from158↑4,585%
02.7K5.4K8.1K158 on Nov 12, 20257.4K on Oct 11Nov '25JanMarMayJulSep
Nov 12, 2025 → Oct 11 · 87 snapshots · spans 333 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 · 2K downloads combined

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

Metadata

License
llama3.1
Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf roleplay llama3 sillytavern idol facebook meta pytorch llama llama-3 en

Related

Total size
66.9 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-11-14 01:41

Files by quantization

F16 1 file 15.0 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.f16.gguf 15.0 GB a3e55e0a download
Q8_0 1 file 7.95 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q8_0.gguf 7.95 GB 11a6aad0 download
Q6_K 1 file 6.14 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q6_K.gguf 6.14 GB 5711fded download
Q5_K 2 files 10.6 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q5_K_M.gguf 5.34 GB 370cdbe9 download
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q5_K_S.gguf 5.21 GB 5573bd5f download
Q4_K 2 files 8.95 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q4_K_M.gguf 4.58 GB d55dcb8e download
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q4_K_S.gguf 4.37 GB 20dc05f1 download
IQ4 1 file 4.18 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.IQ4_XS.gguf 4.18 GB 877c256e download
Q3_K 3 files 11.2 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q3_K_L.gguf 4.03 GB a03521da download
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q3_K_M.gguf 3.74 GB af97fae1 download
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q3_K_S.gguf 3.41 GB 6818645f download
Q2_K 1 file 2.96 GB
DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored.Q2_K.gguf 2.96 GB c58659a8 download
Auxiliary files 2 files 7.18 KB
README.md 4.60 KB 39545ae9 download
.gitattributes 2.58 KB 5974e084 download

README current version from Hugging Face


base_model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored
extra_gated_fields:
Affiliation: text
Country: country
Date of birth: date_picker
First Name: text
Job title:
options:
- Student
- Research Graduate
- AI researcher
- AI developer/engineer
- Reporter
- Other
type: select
Last Name: text
language:

  • en
    library_name: transformers
    license: llama3.1
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • roleplay
  • llama3
  • sillytavern
  • idol
  • facebook
  • meta
  • pytorch
  • llama
  • llama-3

About

static quants of https://huggingface.co/aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-i1-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 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 3 versions

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

  1. 2025-11-14auto-patch README.md4b773c44.6 KB
    Loading...
  2. 2025-11-14auto-patch README.mda8d7e572.8 KB
    Loading...
  3. 2025-11-14uploaded from rich1b6173b4400 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration