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ZeroWw/phi3-uncensored-chat-GGUF

ZeroWw Phi GGUF 4K ctx
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     "https://abliteration.org/api/v1/models/ZeroWw%2Fphi3-uncensored-chat-GGUF"
Response includes
  • classification m-uncensored
  • files 8
  • hub_downloads_all_time 917
  • 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
917
48 last 30d - cooling
Likes
0
Model age
18mo ago
created 2025-03-23
Downloads over time
Now936→from75↑1,148%
323626921K75 on Mar 19, 2025936 on Oct 11936 on Oct 9Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 19, 2025 → Oct 11 · 121 snapshots · spans 571 days

Metadata

License
mit
Languages
en
Quantizations
F16
Tags
gguf text-generation en license:mit endpoints_compatible region:us conversational

Related

Total size
23.1 GB
Files
8
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2025-03-23 08:34

Files by quantization

F16 1 file 7.12 GB
phi3-uncensored-chat.f16.gguf 7.12 GB 19d6c878 download
Auxiliary files 7 files 16.0 GB
phi3-uncensored-chat.q8_0.gguf 3.95 GB 5eeedd73 download
phi3-uncensored-chat.q8_p.gguf 3.78 GB 49e4656f download
phi3-uncensored-chat.q6_k.gguf 3.14 GB 00b71178 download
phi3-uncensored-chat.q5_k.gguf 2.85 GB a60497e2 download
phi3-uncensored-chat.q8q4.gguf 2.30 GB 67b608c5 download
.gitattributes 1.88 KB cd5ab485 download
README.md 339 B c4bbdace download

README current version from Hugging Face


license: mit
language:

  • en
    pipeline_tag: text-generation

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.

Updated on: Sun Mar 23, 08:26:27

README history 1 version

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

  1. 2025-03-23Upload folder using huggingface_hubada494c339 B
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