Get the app
← back to catalog · registered 2026-08-22 13:56

rodrigomt/Qwen3.5-4B-Uncensored-Aggressive

rodrigomt Qwen 4.7B multimodal
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model. 

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/rodrigomt%2FQwen3.5-4B-Uncensored-Aggressive"
Response includes
  • classification m-uncensored
  • files 13
  • benchmarks 11 entries
  • hub_downloads_all_time 10,948
  • providers 1
  • author_summary 2 models
  • readme_text full
Try next
GET/models?author=rodrigomt
All 2 models by rodrigomt
 GET/models?family=qwen&method=m-uncensored
Sibling qwen models · same method
 GET/methods/m-uncensored
What "m-uncensored" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
11K
2K last 30d - stable
Likes
0
Descendants
1
in 1 direct fork
Model age
6mo ago
created 2026-03-21
Available via
1 provider
featherless-ai
Downloads over time
Now11.3K→from63↑17,829%
04.1K8.3K12.4K63 on Apr 1511.3K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.2 UGI
Natural Intelligence 13.45 UGI
Political lean -17.3% UGI
Sensitive-Info 11.73 UGI
SocPol 1.5 UGI
UGI 15.32 UGI
Willingness (10) 2.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 3 UGI
Writing 29.68 UGI

Genealogy 1 direct fork

Full fork graph →

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

Qwen/Qwen3.5-4B this lineage
rodrigomt/Qwen3.5-4B-Uncensored-Aggressive↓ 1,730 1 fork
tinyopsec/Qwen3.5-4B-Uncensored-Aggressive-GGUF↓ 3,184

Metadata

Languages
multilingual
Tags
transformers safetensors qwen3_5 image-text-to-text qwen multimodal text-generation conversational multilingual base_model:Qwen/Qwen3.5-4B base_model:finetune:Qwen/Qwen3.5-4B endpoints_compatible

Related

Other by rodrigomt
Qwen3.5-27B-Uncensored-Aggressive 20
Same base model
huihui-ai/Huihui-Qwen3.5-4B-abliterated 8K insraq/Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated-MTP-GGUF 6K Andycurrent/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive 3K DreamFast/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark 1K prithivMLmods/Gliese-Qwen3.5-4B-Abliterated-Caption 1K
Total size
8.68 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-14 04:25
Source huggingface.co/rodrigomt/Qwen3.5-4B-Uncensored-Aggressive ↗ Base model Qwen/Qwen3.5-4B ↗

Files by quantization

Auxiliary files 13 files 8.70 GB
model.safetensors-00001-of-00002.safetensors 4.96 GB 36dd0f7d download
model.safetensors-00002-of-00002.safetensors 3.72 GB e2fb50b7 download
tokenizer.json 12.2 MB 5f9e4d49 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 74.4 KB 7441de77 download
tokenizer_config.json 16.3 KB eda48d3e download
chat_template.jinja 7.57 KB a585dec8 download
config.json 3.09 KB 557d961b download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.41 KB e7f497b8 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download

README current version from Hugging Face

language:

  • multilingual
    tags:
  • qwen
  • transformers
  • safetensors
  • multimodal
  • text-generation
  • image-text-to-text
    pipeline_tag: image-text-to-text
    base_model:
  • Qwen/Qwen3.5-4B

Qwen3.5-4B-Uncensored-Aggressive

safetensors conversion of HauhauCS's Qwen3.5-4B-Uncensored-HauhauCS-Aggressive release.

This repository contains raw Hugging Face / Transformers weights converted from GGUF for direct use with transformers, vLLM, SGLang, and other runtimes that support safetensors.

Summary

  • Aggressive uncensored variant with refusal removal
  • Sharded weights in model.safetensors-00001-of-00002.safetensors and model.safetensors-00002-of-00002.safetensors
  • Multimodal architecture with text, image, and video support
  • Native context length of 262144 tokens

Files

  • config.json
  • model.safetensors.index.json
  • model.safetensors-00001-of-00002.safetensors
  • model.safetensors-00002-of-00002.safetensors
  • tokenizer.json
  • tokenizer_config.json
  • vocab.json
  • merges.txt
  • preprocessor_config.json
  • video_preprocessor_config.json
  • chat_template.jinja

Notes

  • This repository does not include GGUF files or an mmproj file: the weights here are already in raw safetensors format
  • The source was a GGUF release; this repository exists to distribute a Hugging Face-compatible conversion
  • Use a recent stack, since Qwen3.5 support is still new across some runtimes

README history 2 versions

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

  1. 2026-04-14Update README.mdd61dd141.4 KB
    Loading...
  2. 2026-03-21Upload safetensors conversioncec7eb61.4 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Get the app Browse the catalog
Open in Abliteration