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bambocher/Huihui-Qwen3.5-4B-abliterated-oQ4e

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Response includes
  • classification unknown
  • files 10
  • author_summary 6 models
  • readme_text full
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Abliteration classifier · v1.0.0
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Primary method

Unclassified

No clear signals of an abliteration technique in this model.
Confidence
UNKNOWN
Why this label 1 signal
No classification signals present. This may not be an abliterated model at all - it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.
  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
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Model age
today
created 2026-10-19

Metadata

Tags
mlx safetensors qwen3_5 oq quantized 4-bit region:us

Related

Total size
2.94 GB
Files
10
Quantizations
1
Registered
2026-10-19 20:00
Last updated on HF
2026-10-19 19:22

Files by quantization

Auxiliary files 10 files 2.96 GB
model.safetensors 2.94 GB 14a00dbf download
tokenizer.json 19.1 MB 87a7830d download
config.json 26.1 KB 3fb06d75 download
oq_imatrix_report.json 16.5 KB a5747d5c download
chat_template.jinja 7.57 KB a585dec8 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download
tokenizer_config.json 1.11 KB a068e246 download
README.md 323 B e624da31 download
generation_config.json 115 B 6cd5946d download

README current version from Hugging Face


library_name: mlx
tags:

  • mlx
  • oq
  • quantized

Huihui-Qwen3.5-4B-abliterated-oQ4e

This model was quantized using oQ (oMLX v0.7.0) mixed-precision quantization.

Quantization details

  • Model type: qwen3_5
  • Bits: 4
  • Group size: 64
  • Format: MLX safetensors
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