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ZeroWw/llama3-8B-DarkIdol-2.2-Uncensored-1048K-GGUF

ZeroWw Llama 8B GGUF 1.0M ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
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Response includes
  • classification m-uncensored
  • files 6
  • hub_downloads_all_time 15,762
  • author_summary 25 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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
16K
169 last 30d - cooling
Likes
7
Model age
2.3y ago
created 2024-07-01
Downloads over time
Now15.9K→from10.3K↑53%
05.8K11.6K17.4K10.3K on Jul 24, 202415.9K on Oct 12Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 12 · 156 snapshots · spans 810 days

Metadata

License
mit
Languages
en
Quantizations
F16
Tags
gguf en license:mit endpoints_compatible region:us

Related

Total size
37.7 GB
Files
6
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2024-07-01 16:53

Files by quantization

F16 1 file 15.0 GB
llama3-8B-DarkIdol-2.2-Uncensored-1048K.f16.gguf 15.0 GB ce11a9bd download
Auxiliary files 5 files 22.7 GB
llama3-8B-DarkIdol-2.2-Uncensored-1048K.q8_0.gguf 8.87 GB 698dbf12 download
llama3-8B-DarkIdol-2.2-Uncensored-1048K.q6_k.gguf 7.30 GB 61d4ab56 download
llama3-8B-DarkIdol-2.2-Uncensored-1048K.q5_k.gguf 6.56 GB 63fdcb4f download
.gitattributes 1.82 KB 002567d0 download
README.md 275 B beeee841 download

README current version from Hugging Face


license: mit
language:

  • en

My own (ZeroWw) quantizations.
output and embed tensors quantized to f16.
all other tensors quantized to q5_k or q6_k.

Result:
both f16.q6 and f16.q5 are smaller than q8_0 standard quantization
and they perform as well as the pure f16.

README history 1 version

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

  1. 2024-07-01Upload folder using huggingface_hub57b1916275 B
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