← back to catalog · registered 2026-08-29 22:03

Rin247/Qwen3-VL-4B-Uncensored-Aquarion-INT4

Rin247 Qwen 2.0B
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Response includes
  • classification m1
  • files 7
  • hub_downloads_all_time 36
  • 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
36
Likes
1
Model age
6w ago
created 2026-08-29
Downloads over time
Now71→from0↑0%
02652780 on Aug 2971 on Oct 14AugSepOct
Aug 29 → Oct 14 · 47 snapshots · spans 46 days

Metadata

Tags
safetensors qwen3_vl quantized int4 uncensored abliterated 8-bit int4_weight_only region:us

Related

Total size
2.68 GB
Files
7
Quantizations
1
Registered
2026-08-29 22:03
Last updated on HF
2026-08-29 21:19

Files by quantization

Auxiliary files 7 files 2.69 GB
model.safetensors 2.68 GB eeb2a859 download
tokenizer.json 10.9 MB be756060 download
config.json 20.5 KB 63b21c4c download
chat_template.jinja 5.29 KB 2a65e88d download
.gitattributes 1.53 KB 52373fe2 download
README.md 828 B 76d3e184 download
tokenizer_config.json 724 B c6b8d7a2 download

README current version from Hugging Face


tags:

  • quantized
  • safetensors
  • int4
  • uncensored
  • abliterated

Qwen3 VL 4B Uncensored Aquarion INT4

INT4 weight-only safetensors quantization of Qwen3-VL-4B.

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-4B
  • Format: INT4 (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. 2026-08-29Upload INT4 quantized weightsdf19f2b799 B
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