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Rin247/gemma-4-31B-it-Uncensored-Aquarion-FP8

Rin247 Gemma 30B
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Response includes
  • classification m-uncensored
  • files 8
  • hub_downloads_all_time 45
  • 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
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.

What is a refusal direction? →
Downloads · lifetime
45
18 last 30d - stable
Likes
0
Model age
6w ago
created 2026-08-31
Downloads over time
Now57→from0↑0%
02142630 on Aug 3157 on Oct 1857 on Oct 17AugSepOct
Aug 31 → Oct 18 · 49 snapshots · spans 48 days

Metadata

Tags
transformers safetensors gemma4 image-text-to-text quantized fp8 uncensored abliterated conversational endpoints_compatible fp8_weight_only region:us

Related

Other by Rin247
Qwen3-VL-8B-Instruct-Uncensored-Aquarion-FP4 137 Qwen3.6-35B-A3B-Uncensored-Aquarion-FP4 127 Qwen3.6-27B-Uncensored-Aquarion-FP4 68 Qwen3-VL-4B-Uncensored-Aquarion-INT4 42 Qwen3-VL-8B-Instruct-Uncensored-Aquarion-INT8 28
Total size
30.5 GB
Files
8
Quantizations
1
Registered
2026-08-31 22:03
Last updated on HF
2026-08-31 22:21
Source huggingface.co/Rin247/gemma-4-31B-it-Uncensored-Aquarion-FP8 ↗

Files by quantization

Auxiliary files 8 files 30.5 GB
model.safetensors 30.5 GB 66169b62 download
tokenizer.json 30.7 MB 88e71407 download
config.json 45.0 KB 2cd8a1c1 download
chat_template.jinja 18.6 KB 7d44d305 download
tokenizer_config.json 3.78 KB 1ae1a5fc download
.gitattributes 1.53 KB 52373fe2 download
README.md 768 B 94253379 download
generation_config.json 248 B 69186f9d download

README current version from Hugging Face

tags:

  • quantized
  • safetensors
  • fp8
  • uncensored
  • abliterated
    library_name: transformers

gemma-4-31B-it-Uncensored-Aquarion-FP8

FP8 weight-only safetensors quantization of gemma-4-31B-it-Uncensored.

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: gemma-4-31B-it-Uncensored
  • Format: FP8 (weight-only safetensors)
  • Method: PyTorch RTN quantization on CPU; scales stored alongside weights

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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. 2026-08-31Upload FP8 quantized weightsd73742b744 B
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