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Jeethu/Huihui-gemma-4-E2B-it-abliterated-v2-PARO

Jeethu Gemma 3.3B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/Jeethu%2FHuihui-gemma-4-E2B-it-abliterated-v2-PARO"
Response includes
  • classification m1
  • files 9
  • hub_downloads_all_time 41
  • author_summary 2 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)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
41
14 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-05-28
Downloads over time
Now43→from18↑139%
1726364618 on Jun 1043 on Oct 1143 on Oct 8JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2↓ 131 this lineage
Jeethu/Huihui-gemma-4-E2B-it-abliterated-v2-PARO↓ 14

Metadata

License
apache-2.0
Tags
transformers safetensors gemma4 image-text-to-text gemma google paroquant any-to-any arxiv:2511.10645 base_model:huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2 base_model:quantized:huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2 license:apache-2.0

Related

Other by Jeethu
Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16-PARO 221
Same base model
mradermacher/Huihui-gemma-4-E2B-it-abliterated-v2-GGUF 2K mradermacher/Huihui-gemma-4-E2B-it-abliterated-v2-i1-GGUF 2K
Total size
6.96 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-28 17:14
Source huggingface.co/Jeethu/Huihui-gemma-4-E2B-it-abliterated-v2-PARO ↗ Base model huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2 →

Files by quantization

Auxiliary files 9 files 6.99 GB
model.safetensors 6.96 GB 0beaf108 download
tokenizer.json 30.7 MB cc8d3a0c download
chat_template.jinja 11.6 KB afb1d517 download
config.json 4.95 KB 9c056eca download
tokenizer_config.json 2.02 KB e5418067 download
processor_config.json 1.65 KB 5465974d download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.34 KB 83c7e464 download
generation_config.json 208 B e605bb45 download

README current version from Hugging Face

license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
library_name: transformers
pipeline_tag: any-to-any
tags:

  • gemma4
  • gemma
  • google
  • paroquant
    base_model:
  • huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2

Jeethu/Huihui-gemma-4-E2B-it-abliterated-v2-PARO

Pairwise Rotation Quantization for Efficient Reasoning LLM Inference

Paper Blog Models PyPI

ParoQuant is the state-of-the-art INT4 quantization for LLMs. It closes the accuracy gap with FP16 while running at near-AWQ speed. Supports NVIDIA GPUs (vLLM, Transformers) and Apple Silicon (MLX). For more information, see https://github.com/z-lab/paroquant.

Jeethu/Huihui-gemma-4-E2B-it-abliterated-v2-PARO is a 4-bit huihui-ai/Huihui-gemma-4-E2B-it-abliterated-v2 quantized with ParoQuant.

README history 2 versions

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

  1. 2026-05-28Upload folder using huggingface_hub9af1e021.3 KB
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  2. 2026-05-28initial commit059726828 B
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