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Rin247/Qwen3.5-9B-Uncensored-Aquarion-FP4

Rin247 Qwen 3.5B
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Response includes
  • classification m1
  • files 8
  • hub_downloads_all_time 27
  • author_summary 52 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
27
15 last 30d - active
Likes
0
Model age
6w ago
created 2026-08-30
Downloads over time
Now34→from0↑0%
01225370 on Aug 3034 on Oct 1434 on Oct 13AugSepOct
Aug 30 → Oct 14 · 46 snapshots · spans 45 days

Metadata

Tags
safetensors qwen3_5_text quantized fp4 uncensored abliterated 8-bit fp4_weight_only region:us

Related

Total size
7.42 GB
Files
8
Quantizations
1
Registered
2026-08-30 03:03
Last updated on HF
2026-08-30 02:24

Files by quantization

Auxiliary files 8 files 7.43 GB
model.safetensors 7.42 GB 10efc835 download
tokenizer.json 19.1 MB 06b95093 download
config.json 18.0 KB 160484ed download
chat_template.jinja 7.72 KB 945efe1d download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.13 KB ab901d8d download
README.md 821 B 4f71667c download
generation_config.json 122 B a575d508 download

README current version from Hugging Face


tags:

  • quantized
  • safetensors
  • fp4
  • uncensored
  • abliterated

Qwen3.5 9B Uncensored Aquarion FP4

FP4 weight-only safetensors quantization of Qwen3.5-9B.

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: Qwen3.5-9B
  • Format: FP4 (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 FP4 quantized weightsf3da852792 B
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