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iOvermind/Qwen3.8-27B-Uncensored-oQ8-mtp

iOvermind 27B
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Response includes
  • classification m-uncensored
  • files 17
  • author_summary 2 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
How we label → About M-U →
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 · 30-day
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Model age
today
created 2026-11-02

Metadata

Tags
mlx safetensors qwen3_5 oq quantized mtp 8-bit region:us

Related

Other by iOvermind
gemma-4-31B-it-abliterated-oQ6 0
Total size
27.9 GB
Files
17
Quantizations
1
Registered
2026-11-02 21:02
Last updated on HF
2026-11-02 20:41
Source huggingface.co/iOvermind/Qwen3.8-27B-Uncensored-oQ8-mtp ↗

Files by quantization

Auxiliary files 17 files 28.0 GB
model-00001-of-00006.safetensors 5.13 GB d9acb992 download
model-00004-of-00006.safetensors 4.72 GB 73478ba2 download
model-00002-of-00006.safetensors 4.72 GB 2bdc980e download
model-00003-of-00006.safetensors 4.70 GB c4c7328d download
model-00005-of-00006.safetensors 4.70 GB c84d2040 download
model-00006-of-00006.safetensors 3.98 GB 10ee7c59 download
tokenizer.json 12.2 MB 0997f410 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 207 KB bf7d4111 download
tokenizer_config.json 17.5 KB 5de744b3 download
chat_template.jinja 8.74 KB c0c686f9 download
config.json 3.76 KB a108cb9f download
.gitattributes 1.53 KB 52373fe2 download
README.md 897 B d44ba290 download
preprocessor_config.json 390 B 2ea84a43 download
generation_config.json 202 B 023756cf download

README current version from Hugging Face

library_name: mlx
tags:

  • mlx
  • oq
  • quantized
  • mtp

Qwen3.8-27B-Uncensored-oQ8-mtp

This model was quantized using oQ (oMLX v0.7.3) mixed-precision quantization.

The effective average is 8.639 bits/weight for the complete checkpoint.

Quantization and Bit Distribution

Storage format Logical weights Share of total Tensor storage Effective bits/weight
Affine 8-bit, group 64 27.266B 98.143% 26.980 GiB 8.50
BF16 0.516B 1.857% 0.961 GiB 16.00
Total 27.781B 100% 27.941 GiB 8.639

Storage Breakdown

Component Logical weights Storage
Language model 26.896B 28.579 GB / 26.617 GiB
Vision 0.461B 0.921 GB / 0.858 GiB
MTP head 0.425B 0.500 GB / 0.466 GiB
Total 27.781B 30.001 GB / 27.941 GiB
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