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Rin247/Qwen3-VL-8B-Instruct-Uncensored-Aquarion-FP8

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Response includes
  • classification m-uncensored
  • files 7
  • hub_downloads_all_time 42
  • author_summary 52 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.

What is a refusal direction? →
Downloads · lifetime
42
28 last 30d - active
Likes
0
Model age
6w ago
created 2026-08-30
Downloads over time
Now61→from0↑0%
02245670 on Aug 3061 on Oct 15AugSepOct
Aug 30 → Oct 15 · 47 snapshots · spans 46 days

Metadata

Tags
safetensors qwen3_vl quantized fp8 uncensored abliterated fp8_weight_only region:us

Related

Total size
8.17 GB
Files
7
Quantizations
1
Registered
2026-08-30 17:03
Last updated on HF
2026-08-30 17:04

Files by quantization

Auxiliary files 7 files 8.18 GB
model.safetensors 8.17 GB 673e5831 download
tokenizer.json 10.9 MB be756060 download
config.json 21.0 KB 27243c24 download
chat_template.jinja 5.29 KB 2a65e88d download
.gitattributes 1.53 KB 52373fe2 download
README.md 851 B 5510a5d4 download
tokenizer_config.json 724 B c6b8d7a2 download

README current version from Hugging Face


tags:

  • quantized
  • safetensors
  • fp8
  • uncensored
  • abliterated

Qwen3 VL 8B Instruct Uncensored Aquarion FP8

FP8 weight-only safetensors quantization of Qwen3-VL-8B-Instruct.

Aquarion Forge

This model was abliterated (uncensored) via orthogonal projection of the
refusal direction before quantization — part of the Genesis of Aquarion forge.

Quantization Details

  • Base model: Qwen3-VL-8B-Instruct
  • Format: FP8 (weight-only safetensors)
  • Method: PyTorch RTN quantization on CPU; scales stored alongside weights
  • Files: model.safetensors + config.json (contains quantization_config)

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These use custom weight-only recipes. Dequantize with the matching scale/shape
buffers (*.weight_scale, *.weight_shape) before feeding to an inference engine.

README history 1 version

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

  1. 2026-08-30Upload FP8 quantized weights1cc03ce822 B
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