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ZeroWw/Qwen3-4B-abliterated-GGUF

ZeroWw Qwen 4B GGUF 41K ctx
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Response includes
  • classification m8
  • files 8
  • hub_downloads_all_time 3,339
  • 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
3K
208 last 30d - cooling
Likes
0
Model age
17mo ago
created 2025-05-01
Downloads over time
Now3.4K→from170↑1,905%
81.2K2.5K3.7K170 on Apr 30, 20253.4K on Oct 11Apr '25Jul '25Oct '25JanAprJulOct
Apr 30, 2025 → Oct 11 · 115 snapshots · spans 529 days

Metadata

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

Related

Total size
24.8 GB
Files
8
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2025-05-01 09:27

Files by quantization

F16 1 file 7.50 GB
Qwen3-4B-abliterated.f16.gguf 7.50 GB a5d1a8c8 download
Auxiliary files 7 files 17.4 GB
Qwen3-4B-abliterated.q8_0.gguf 4.33 GB cf2c92b8 download
Qwen3-4B-abliterated.q8_p.gguf 3.99 GB 76917735 download
Qwen3-4B-abliterated.q6_k.gguf 3.51 GB 03d3ce1e download
Qwen3-4B-abliterated.q5_k.gguf 3.12 GB a29a4fd8 download
Qwen3-4B-abliterated.q8q4.gguf 2.41 GB e40a807f download
.gitattributes 1.88 KB 374de943 download
README.md 339 B 347c20d7 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: Thu May 01, 09:19:58

README history 1 version

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

  1. 2025-05-01Upload folder using huggingface_hub95bca49339 B
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