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ZeroWw/gemma-3-4b-it-abliterated-GGUF

ZeroWw Gemma 4B GGUF 131K ctx
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Response includes
  • classification m8
  • files 8
  • hub_downloads_all_time 2,331
  • author_summary 25 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 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.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
2K
164 last 30d - cooling
Likes
4
Model age
18mo ago
created 2025-03-22
Downloads over time
Now2.4K→from203↑1,082%
939351.8K2.6K203 on Mar 19, 20252.4K on Oct 11Mar '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
25.1 GB
Files
8
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2025-03-22 13:36

Files by quantization

F16 1 file 7.23 GB
gemma-3-4b-it-abliterated.f16.gguf 7.23 GB 7d718721 download
Auxiliary files 7 files 17.8 GB
gemma-3-4b-it-abliterated.q8_0.gguf 4.43 GB 0cadb3bd download
gemma-3-4b-it-abliterated.q8_p.gguf 3.85 GB 2768a044 download
gemma-3-4b-it-abliterated.q6_k.gguf 3.71 GB 0617d4a2 download
gemma-3-4b-it-abliterated.q5_k.gguf 3.37 GB 94bd4147 download
gemma-3-4b-it-abliterated.q8q4.gguf 2.47 GB 6c155522 download
.gitattributes 1.90 KB d1dd7efb download
README.md 339 B 3a96ec9b 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: Sat Mar 22, 13:28:53

README history 1 version

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

  1. 2025-03-22Upload folder using huggingface_hubce14f06339 B
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Discussions 2 threads

  1. 2025-03-29GGUF model with architecture gemma3 is not supported yetclosed4 💬#2
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  2. 2025-03-25gemma-3-4b-it-abliterated.q8q4.gguf is very much appreciated.closed3 💬#1
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