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

RichardErkhov/aifeifei798_-_llama3-8B-DarkIdol-2.1-Uncensored-1048K-gguf

RichardErkhov Llama 8B GGUF 1.0M 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/RichardErkhov%2Faifeifei798_-_llama3-8B-DarkIdol-2.1-Uncensored-1048K-gguf"
Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 4,506
  • author_summary 257 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)

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 2 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • author=richarderkhov (M8 quantization producer)
  • is_gguf=1
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
5K
630 last 30d - stable
Likes
0
Model age
2.1y ago
created 2024-08-22
Downloads over time
Now4.6K→from493↑829%
01.7K3.4K5K493 on Aug 21, 20244.6K on Oct 11Aug '24Dec '24Apr '25Aug '25Dec '25AprAug
Aug 21, 2024 → Oct 11 · 151 snapshots · spans 781 days

Metadata

Quantizations
IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5 Q5_K Q6_K Q8_0
Tags
gguf arxiv:2403.19522 endpoints_compatible region:us

Related

Total size
100 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-08-22 10:18

Files by quantization

Q8_0 1 file 7.95 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q8_0.gguf 7.95 GB c5447e2c download
Q6_K 1 file 6.14 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q6_K.gguf 6.14 GB 45c9df58 download
Q5 2 files 10.9 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_1.gguf 5.65 GB 89a5747c download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_0.gguf 5.21 GB b8df8938 download
Q5_K 3 files 15.9 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_K.gguf 5.34 GB a4faec11 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_K_M.gguf 5.34 GB a4faec11 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_K_S.gguf 5.21 GB 9449c6d3 download
Q4 2 files 9.12 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_1.gguf 4.78 GB ca5cb367 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_0.gguf 4.34 GB 2f2b5044 download
Q4_K 3 files 13.5 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_K.gguf 4.58 GB db9a23c3 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_K_M.gguf 4.58 GB db9a23c3 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_K_S.gguf 4.37 GB e340b04d download
IQ4 2 files 8.56 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ4_NL.gguf 4.38 GB ce4a5a66 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ4_XS.gguf 4.18 GB fef8c21f download
Q3_K 4 files 14.9 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K_L.gguf 4.03 GB 2d30bce4 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K.gguf 3.74 GB 0d951b25 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K_M.gguf 3.74 GB 0d951b25 download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K_S.gguf 3.41 GB 4c5f427e download
IQ3 3 files 10.2 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ3_M.gguf 3.52 GB c7eb21ee download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ3_S.gguf 3.43 GB 5438b7dd download
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ3_XS.gguf 3.28 GB 206ae10c download
Q2_K 1 file 2.96 GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q2_K.gguf 2.96 GB 5f23fafb download
Auxiliary files 2 files 17.0 KB
README.md 13.6 KB e58bc1b0 download
.gitattributes 3.35 KB 8aad8e0b download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

Discord

Request more models

llama3-8B-DarkIdol-2.1-Uncensored-1048K - GGUF

Name Quant method Size
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q2_K.gguf Q2_K 2.96GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ3_XS.gguf IQ3_XS 3.28GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ3_S.gguf IQ3_S 3.43GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K_S.gguf Q3_K_S 3.41GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ3_M.gguf IQ3_M 3.52GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K.gguf Q3_K 3.74GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K_M.gguf Q3_K_M 3.74GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q3_K_L.gguf Q3_K_L 4.03GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ4_XS.gguf IQ4_XS 4.18GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_0.gguf Q4_0 4.34GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.IQ4_NL.gguf IQ4_NL 4.38GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_K_S.gguf Q4_K_S 4.37GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_K.gguf Q4_K 4.58GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_K_M.gguf Q4_K_M 4.58GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q4_1.gguf Q4_1 4.78GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_0.gguf Q5_0 5.21GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_K_S.gguf Q5_K_S 5.21GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_K.gguf Q5_K 5.34GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_K_M.gguf Q5_K_M 5.34GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q5_1.gguf Q5_1 5.65GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q6_K.gguf Q6_K 6.14GB
llama3-8B-DarkIdol-2.1-Uncensored-1048K.Q8_0.gguf Q8_0 7.95GB

Original model description:

license: llama3
language:

  • en
  • ja
  • zh
    tags:
    • roleplay
    • llama3
    • sillytavern
    • idol

Special Thanks:

Model Description:

The module combination has been readjusted to better fulfill various roles and has been adapted for mobile phones.

image/png

Chang Log

2024-06-26

  • 1048K

image/png

Questions

  • The model's response results are for reference only, please do not fully trust them.
  • testing with other tools is not comprehensive.but there may be new issues, so please leave a message if you encounter any.

问题

  • 模型回复结果仅供参考,请勿完全相信
  • 工具的测试不完善

Stop Strings

    stop = [
      "## Instruction:",
      "### Instruction:",
      "<|end_of_text|>",
      "  //:",
      "</s>",
      "<3```",
      "### Note:",
      "### Input:",
      "### Response:",
      "### Emoticons:"
    ],

Model Use

character

If you want to use vision functionality:

  • You must use the latest versions of Koboldcpp.

To use the multimodal capabilities of this model and use vision you need to load the specified mmproj file, this can be found inside this model repo. Llava MMProj

  • You can load the mmproj by using the corresponding section in the interface:
    image/png

Thank you:

To the authors for their hard work, which has given me more options to easily create what I want. Thank you for your efforts.

  • Hastagaras
  • Gryphe
  • cgato
  • ChaoticNeutrals
  • mergekit
  • merge
  • transformers
  • llama
  • Nitral-AI
  • MLP-KTLim
  • rinna
  • hfl
  • Rupesh2
  • stephenlzc
  • theprint
  • Sao10K
  • turboderp
  • TheBossLevel123
  • winglian
  • .........

base_model:

  • turboderp/llama3-turbcat-instruct-8b
  • Nitral-AI/Hathor_Fractionate-L3-8B-v.05
  • Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  • Sao10K/L3-8B-Stheno-v3.3-32K
  • TheBossLevel123/Llama3-Toxic-8B-Float16
  • cgato/L3-TheSpice-8b-v0.8.3
  • winglian/llama-3-8b-1m-PoSE
    library_name: transformers
    tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.1-Uncensored-1048K-a

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using winglian/llama-3-8b-1m-PoSE as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/L3-8B-Stheno-v3.3-32K
  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  - model: cgato/L3-TheSpice-8b-v0.8.3
  - model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
  - model: TheBossLevel123/Llama3-Toxic-8B-Float16
  - model: turboderp/llama3-turbcat-instruct-8b
  - model: winglian/llama-3-8b-1m-PoSE
merge_method: model_stock
base_model: winglian/llama-3-8b-1m-PoSE
dtype: bfloat16

base_model:

  • hfl/llama-3-chinese-8b-instruct-v3
  • MLP-KTLim/llama-3-Korean-Bllossom-8B
  • rinna/llama-3-youko-8b
    library_name: transformers
    tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.1-Uncensored-1048K-b

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using ./llama3-8B-DarkIdol-2.1-1048K-a as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: hfl/llama-3-chinese-8b-instruct-v3
  - model: rinna/llama-3-youko-8b
  - model: MLP-KTLim/llama-3-Korean-Bllossom-8B
  - model: ./llama3-8B-DarkIdol-2.1-1048K-a
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-2.1-1048K-a
dtype: bfloat16

base_model:

  • stephenlzc/dolphin-llama3-zh-cn-uncensored
  • theprint/Llama-3-8B-Lexi-Smaug-Uncensored
  • Rupesh2/OrpoLlama-3-8B-instruct-uncensored
    library_name: transformers
    tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.1-Uncensored-1048K

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using ./llama3-8B-DarkIdol-2.1-1048K-b as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Rupesh2/OrpoLlama-3-8B-instruct-uncensored
  - model: stephenlzc/dolphin-llama3-zh-cn-uncensored
  - model: theprint/Llama-3-8B-Lexi-Smaug-Uncensored
  - model: ./llama3-8B-DarkIdol-2.1-1048K-b
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-2.1-1048K-b
dtype: bfloat16

README history 1 version

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

  1. 2024-08-22uploaded readmea7b828613.6 KB
    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