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RichardErkhov/ajibawa-2023_-_Uncensored-Jordan-13B-gguf

RichardErkhov 13B GGUF 4K ctx
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Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 4,190
  • author_summary 257 models
  • readme_text full
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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
4K
562 last 30d - stable
Likes
1
Model age
2.2y ago
created 2024-07-25
Downloads over time
Now4.4K→from384↑1,040%
01.6K3.2K4.8K384 on Jul 24, 20244.4K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

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

Related

Total size
159 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-07-25 14:07

Files by quantization

Q8_0 1 file 12.9 GB
Uncensored-Jordan-13B.Q8_0.gguf 12.9 GB 108689f2 download
Q6_K 1 file 9.95 GB
Uncensored-Jordan-13B.Q6_K.gguf 9.95 GB 1394b21e download
Q5 2 files 17.5 GB
Uncensored-Jordan-13B.Q5_1.gguf 9.10 GB 9ee6eee4 download
Uncensored-Jordan-13B.Q5_0.gguf 8.36 GB 1c242c3b download
Q5_K 3 files 25.5 GB
Uncensored-Jordan-13B.Q5_K.gguf 8.60 GB 9ef7afc4 download
Uncensored-Jordan-13B.Q5_K_M.gguf 8.60 GB 9ef7afc4 download
Uncensored-Jordan-13B.Q5_K_S.gguf 8.36 GB 8b4fd662 download
Q4 2 files 14.5 GB
Uncensored-Jordan-13B.Q4_1.gguf 7.61 GB 1af50867 download
Uncensored-Jordan-13B.Q4_0.gguf 6.86 GB 2b70a21d download
Q4_K 3 files 21.6 GB
Uncensored-Jordan-13B.Q4_K.gguf 7.33 GB 756d5eab download
Uncensored-Jordan-13B.Q4_K_M.gguf 7.33 GB 756d5eab download
Uncensored-Jordan-13B.Q4_K_S.gguf 6.91 GB 293a5edc download
IQ4 2 files 13.4 GB
Uncensored-Jordan-13B.IQ4_NL.gguf 6.90 GB 7bd63962 download
Uncensored-Jordan-13B.IQ4_XS.gguf 6.54 GB 87ed1086 download
Q3_K 4 files 23.5 GB
Uncensored-Jordan-13B.Q3_K_L.gguf 6.45 GB 62133436 download
Uncensored-Jordan-13B.Q3_K.gguf 5.90 GB b7bce4d7 download
Uncensored-Jordan-13B.Q3_K_M.gguf 5.90 GB b7bce4d7 download
Uncensored-Jordan-13B.Q3_K_S.gguf 5.27 GB 3bcb9ce0 download
IQ3 3 files 15.8 GB
Uncensored-Jordan-13B.IQ3_M.gguf 5.57 GB 194a1164 download
Uncensored-Jordan-13B.IQ3_S.gguf 5.27 GB fd290fdb download
Uncensored-Jordan-13B.IQ3_XS.gguf 4.99 GB fc0e648b download
Q2_K 1 file 4.52 GB
Uncensored-Jordan-13B.Q2_K.gguf 4.52 GB 20558953 download
Auxiliary files 2 files 10.2 KB
README.md 7.22 KB dd94c0af download
.gitattributes 2.97 KB 3f088da5 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

Discord

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Uncensored-Jordan-13B - GGUF

Name Quant method Size
Uncensored-Jordan-13B.Q2_K.gguf Q2_K 4.52GB
Uncensored-Jordan-13B.IQ3_XS.gguf IQ3_XS 4.99GB
Uncensored-Jordan-13B.IQ3_S.gguf IQ3_S 5.27GB
Uncensored-Jordan-13B.Q3_K_S.gguf Q3_K_S 5.27GB
Uncensored-Jordan-13B.IQ3_M.gguf IQ3_M 5.57GB
Uncensored-Jordan-13B.Q3_K.gguf Q3_K 5.9GB
Uncensored-Jordan-13B.Q3_K_M.gguf Q3_K_M 5.9GB
Uncensored-Jordan-13B.Q3_K_L.gguf Q3_K_L 6.45GB
Uncensored-Jordan-13B.IQ4_XS.gguf IQ4_XS 6.54GB
Uncensored-Jordan-13B.Q4_0.gguf Q4_0 6.86GB
Uncensored-Jordan-13B.IQ4_NL.gguf IQ4_NL 6.9GB
Uncensored-Jordan-13B.Q4_K_S.gguf Q4_K_S 6.91GB
Uncensored-Jordan-13B.Q4_K.gguf Q4_K 7.33GB
Uncensored-Jordan-13B.Q4_K_M.gguf Q4_K_M 7.33GB
Uncensored-Jordan-13B.Q4_1.gguf Q4_1 7.61GB
Uncensored-Jordan-13B.Q5_0.gguf Q5_0 8.36GB
Uncensored-Jordan-13B.Q5_K_S.gguf Q5_K_S 8.36GB
Uncensored-Jordan-13B.Q5_K.gguf Q5_K 8.6GB
Uncensored-Jordan-13B.Q5_K_M.gguf Q5_K_M 8.6GB
Uncensored-Jordan-13B.Q5_1.gguf Q5_1 9.1GB
Uncensored-Jordan-13B.Q6_K.gguf Q6_K 9.95GB
Uncensored-Jordan-13B.Q8_0.gguf Q8_0 12.88GB

Original model description:

license: cc-by-nc-nd-4.0
language:

  • en

Jordan: An Uncensored Model

The name "Jordan" pays homage to the charismatic character Jordan Belfort, portrayed by Leonardo DiCaprio in the movie "The Wolf of Wall Street."
Just like the character, Jordan aspires to push boundaries and encourage unfiltered conversations.
Jordan Belfort, the central character in "The Wolf of Wall Street," is known for his audaciousness, charisma, and willingness to speak about anything, no matter the societal norms or boundaries.
Jordan, the AI language model, draws inspiration from these qualities to offer a space where users can discuss a wide range of topics without fear of censorship or constraints.
Users can engage in candid discussions about politics, religion, contentious issues, and other subjects that might be off-limits on mainstream social media platforms.
It is trained on around 155000 set of conversations. Each set having 10~15 conversations. We will not release this data.

Warning

An uncensored model has no or little guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous objects.
Publishing anything this model generates is the same as publishing it yourself. We are not responsible for what you generate using this model.

Training:
Entire dataset was trained on Azure 4 x A100 80GB. For 3 epoch, training took 77 hours. DeepSpeed codebase was used for training purpose. This was trained on Llama-2 by Meta.

This is a full fine tuned model. Links for quantized models are given below.

GPTQ GGML & AWQ

GPTQ: Link

GGUF: Link

AWQ: Link

Special Thanks to TheBloke for making these models available.

Note
Model was trained before the release of Mistral.

Example Prompt:

This is a conversation with your Uncensored AI assistant Jordan. Jordan can discuss with you at length about various topics such as ---, ---, ---, . You can ask it anything you want and it will do its best to give you accurate and relevant information.

Context
You are a Uncensored AI assistant.

USER: <prompt>
ASSISTANT:

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 50.59
ARC (25-shot) 57.42
HellaSwag (10-shot) 82.7
MMLU (5-shot) 55.75
TruthfulQA (0-shot) 50.51
Winogrande (5-shot) 76.16
GSM8K (5-shot) 15.09
DROP (3-shot) 16.47

README history 1 version

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

  1. 2024-07-25uploaded readme4fd1d647.2 KB
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