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Rin247/gemma-4-31B-it-Uncensored-Aquarion-INT8

Rin247 Gemma 30B multimodal
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Response includes
  • classification m1
  • files 8
  • hub_downloads_all_time 25
  • 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
25
9 last 30d - stable
Likes
0
Model age
6w ago
created 2026-08-31
Downloads over time
Now31→from0↑0%
01123340 on Aug 3131 on Oct 17AugSepOct
Aug 31 → Oct 17 · 48 snapshots · spans 47 days

Metadata

Tags
transformers safetensors gemma4 image-text-to-text quantized int8 uncensored abliterated conversational endpoints_compatible 8-bit int8_weight_only

Related

Total size
30.5 GB
Files
8
Quantizations
1
Registered
2026-08-31 23:03
Last updated on HF
2026-08-31 22:39

Files by quantization

Auxiliary files 8 files 30.5 GB
model.safetensors 30.5 GB 9b448b2b download
tokenizer.json 30.7 MB 88e71407 download
config.json 45.0 KB 32b37de9 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 772 B b022a736 download
generation_config.json 248 B 69186f9d download

README current version from Hugging Face


tags:

  • quantized
  • safetensors
  • int8
  • uncensored
  • abliterated
    library_name: transformers

gemma-4-31B-it-Uncensored-Aquarion-INT8

INT8 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: INT8 (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 INT8 quantized weights8f509d8748 B
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