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

RichardErkhov/aifeifei798_-_llama3-8B-DarkIdol-2.1-Uncensored-32K-gguf

RichardErkhov Llama 8B GGUF 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/RichardErkhov%2Faifeifei798_-_llama3-8B-DarkIdol-2.1-Uncensored-32K-gguf"
Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 8,595
  • 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
9K
1K last 30d - stable
Likes
0
Model age
2.1y ago
created 2024-08-22
Downloads over time
Now8.9K→from715↑1,148%
03.3K6.5K9.8K715 on Aug 21, 20248.9K 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 10:04

Files by quantization

Q8_0 1 file 7.95 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q8_0.gguf 7.95 GB e3f56943 download
Q6_K 1 file 6.14 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q6_K.gguf 6.14 GB 74f7495a download
Q5 2 files 10.9 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_1.gguf 5.65 GB 88e16f15 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_0.gguf 5.21 GB 5f06a60a download
Q5_K 3 files 15.9 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_K.gguf 5.34 GB f536dfae download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_K_M.gguf 5.34 GB f536dfae download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_K_S.gguf 5.21 GB 922ec90d download
Q4 2 files 9.12 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_1.gguf 4.78 GB 127e5f22 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_0.gguf 4.34 GB c5cc07cb download
Q4_K 3 files 13.5 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_K.gguf 4.58 GB 345950c0 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_K_M.gguf 4.58 GB 345950c0 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_K_S.gguf 4.37 GB c47b8387 download
IQ4 2 files 8.56 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ4_NL.gguf 4.38 GB b7dbdee0 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ4_XS.gguf 4.18 GB 41ac9e14 download
Q3_K 4 files 14.9 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K_L.gguf 4.03 GB 82c938c8 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K.gguf 3.74 GB f29db8f3 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K_M.gguf 3.74 GB f29db8f3 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K_S.gguf 3.41 GB 1a2a3b8a download
IQ3 3 files 10.2 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ3_M.gguf 3.52 GB b1cac5a3 download
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ3_S.gguf 3.43 GB 62966cef download
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ3_XS.gguf 3.28 GB 2403c414 download
Q2_K 1 file 2.96 GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q2_K.gguf 2.96 GB 57be5d46 download
Auxiliary files 2 files 19.6 KB
README.md 16.3 KB 507de2de download
.gitattributes 3.31 KB c4cf1bf2 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

Discord

Request more models

llama3-8B-DarkIdol-2.1-Uncensored-32K - GGUF

Name Quant method Size
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q2_K.gguf Q2_K 2.96GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ3_XS.gguf IQ3_XS 3.28GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ3_S.gguf IQ3_S 3.43GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K_S.gguf Q3_K_S 3.41GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ3_M.gguf IQ3_M 3.52GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K.gguf Q3_K 3.74GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K_M.gguf Q3_K_M 3.74GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q3_K_L.gguf Q3_K_L 4.03GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ4_XS.gguf IQ4_XS 4.18GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_0.gguf Q4_0 4.34GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.IQ4_NL.gguf IQ4_NL 4.38GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_K_S.gguf Q4_K_S 4.37GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_K.gguf Q4_K 4.58GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_K_M.gguf Q4_K_M 4.58GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q4_1.gguf Q4_1 4.78GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_0.gguf Q5_0 5.21GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_K_S.gguf Q5_K_S 5.21GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_K.gguf Q5_K 5.34GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_K_M.gguf Q5_K_M 5.34GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q5_1.gguf Q5_1 5.65GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q6_K.gguf Q6_K 6.14GB
llama3-8B-DarkIdol-2.1-Uncensored-32K.Q8_0.gguf Q8_0 7.95GB

Original model description:

license: llama3
language:

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

Special Thanks:

fast quantizations

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

  • 32k

2024-06-26

  • 之前版本的迭代太多了,已经开始出现过拟合现象.重新使用了新的工艺重新制作模型,虽然制作复杂了,结果很好,新的迭代工艺如图
  • The previous version had undergone excessive iterations, resulting in overfitting. We have recreated the model using a new process, which, although more complex to produce, has yielded excellent results. The new iterative process is depicted in the figure.

image/png

Questions

  • The model's response results are for reference only, please do not fully trust them.
  • I am unable to test Japanese and Korean parts very well. Based on my testing, Korean performs excellently, but sometimes Japanese may have furigana (if anyone knows a good Japanese language module, - I need to replace the module for integration).
  • With the new manufacturing process, overfitting and crashes have been reduced, but there may be new issues, so please leave a message if you encounter any.
  • testing with other tools is not comprehensive.but there may be new issues, so please leave a message if you encounter any.
  • The range between 32K and 64K was not tested, and the approach was somewhat casual. I didn't expect the results to be exceptionally good.

问题

  • 模型回复结果仅供参考,请勿完全相信
  • 日语,韩语部分我没办法进行很好的测试,根据我测试情况,韩语表现的很好,日语有时候会出现注音(谁知道好的日文语言模块,我需要换模块集成)
  • 新工艺制作,过拟合现象和崩溃减少了,可能会有新的问题,碰到了请给我留言
  • 32K-64k区间没有测试,做的有点随意,没想到结果特别的好
  • 其他工具的测试不完善

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:

  • Nitral-AI/Hathor_Fractionate-L3-8B-v.05
  • Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  • turboderp/llama3-turbcat-instruct-8b
  • aifeifei798/Meta-Llama-3-8B-Instruct
  • Sao10K/L3-8B-Stheno-v3.3-32K
  • TheBossLevel123/Llama3-Toxic-8B-Float16
  • cgato/L3-TheSpice-8b-v0.8.3
    library_name: transformers
    tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-1.3.1

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 aifeifei798/Meta-Llama-3-8B-Instruct 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: aifeifei798/Meta-Llama-3-8B-Instruct
merge_method: model_stock
base_model: aifeifei798/Meta-Llama-3-8B-Instruct
dtype: bfloat16

base_model:

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

llama3-8B-DarkIdol-1.3.2

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-1.3.1 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-1.3.1
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-1.3.1
dtype: bfloat16

base_model:

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

llama3-8B-DarkIdol-2.0-Uncensored

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-1.3.2 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-1.3.2
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-2.0-Uncensored
dtype: bfloat16

base_model:

  • winglian/Llama-3-8b-64k-PoSE
    library_name: transformers
    tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.1-Uncensored-32K

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-64k-PoSE as a base.

Models Merged

The following models were included in the merge:

  • ./llama3-8B-DarkIdol-1.3.2
  • ./llama3-8B-DarkIdol-2.0
  • ./llama3-8B-DarkIdol-1.3.1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: ./llama3-8B-DarkIdol-1.3.1
  - model: ./llama3-8B-DarkIdol-1.3.2
  - model: ./llama3-8B-DarkIdol-2.0
  - model: winglian/Llama-3-8b-64k-PoSE
merge_method: model_stock
base_model: winglian/Llama-3-8b-64k-PoSE
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 readme54c8ffd16.3 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