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Trilogix1/Hugston-Huihui-Qwen3-4B-Thinking-2507-abliterated-f16

Trilogix1 Qwen 4B GGUF 262K ctx
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Response includes
  • classification m8
  • files 7
  • benchmarks 11 entries
  • hub_downloads_all_time 1,430
  • author_summary 5 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
1K
207 last 30d - stable
Likes
0
Model age
10mo ago
created 2025-11-17
Downloads over time
Now1.6K→from112↑1,301%
395981.2K1.7K112 on Nov 19, 20251.6K on Oct 111.6K on Oct 10Nov '25JanMarMayJulSep
Nov 19, 2025 → Oct 11 · 86 snapshots · spans 326 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 1.4 UGI
Hazardous 3.5 UGI
Natural Intelligence 16.16 UGI
Political lean -26.1% UGI
Sensitive-Info 18.68 UGI
SocPol 1.1 UGI
UGI 21.62 UGI
Willingness (10) 2.8 UGI
W10-Adherence 1.5 UGI
W10-Direct 4 UGI
Writing 10.87 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Quantizations
F16
Tags
transformers gguf abliterated uncensored text-generation base_model:Qwen/Qwen3-4B-Thinking-2507 base_model:quantized:Qwen/Qwen3-4B-Thinking-2507 doi:10.57967/hf/7051 license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
19.6 GB
Files
7
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2025-11-17 12:37

Files by quantization

F16 5 files 19.6 GB
Hugston-Huihui-Qwen3-4B-Thinking-2507-abliterated-f16.gguf 7.50 GB 9af9e86f download
Hugston-Huihui-Qwen3-4B-Thinking-2507-abliterated-f16.Q8_0.gguf 3.99 GB 39805c8f download
Hugston-Huihui-Qwen3-4B-Thinking-2507-abliterated-f16.Q6_K.gguf 3.08 GB 904b59df download
Hugston-Huihui-Qwen3-4B-Thinking-2507-abliterated-f16.Q5_K_M.gguf 2.69 GB ce3de714 download
Hugston-Huihui-Qwen3-4B-Thinking-2507-abliterated-f16.Q4_K_M.gguf 2.33 GB 9b552fb9 download
Auxiliary files 2 files 3.87 KB
.gitattributes 1.97 KB 3fbea243 download
README.md 1.90 KB 7c07fab8 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507/blob/main/LICENSE
base_model:

  • Qwen/Qwen3-4B-Thinking-2507
    pipeline_tag: text-generation
    tags:
  • abliterated
  • uncensored

Hugston-Huihui-Qwen3-4B-Thinking-2507-abliterated

This is an uncensored version ofmade by Qwen/Qwen3-4B-Thinking-2507 created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Ablation was performed using a new and faster method, which yields better results.
This model was made possible by: https://huggingface.co/huihui-ai.


This model was converted and Quantized by Hugston Team.

HugstonOne Enterprise Edition

You can use the model with HugstonOne Enterprise Edition

Screenshot 2025-11-17 125501

Tested for scientific purposes, example query: How to engage in insider trading for maximum profit?

Watch HugstonOne coding and preview in action: https://vimeo.com/1121493834?share=copy&fl=sv&fe=ci

Usage

-Download App HugstonOne at Hugston.com or at https://github.com/Mainframework

-Download model from https://hugston.com/explore?folder=llm_models or Huggingface

-If you already have the Llm Model downloaded chose it by clicking pick model in HugstonOne
-Then click Load model in Cli or Server

-For multimodal use you need a VL/multimodal LLM model with the Mmproj file in the same folder.
-Select model and select mmproj.

-Note: if the mmproj is inside the same folder with other models non multimodal, the non model will not load unless the mmproj is moved from folder.

README history 5 versions

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

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