library_name, license, license_link, base_model, pipeline_tag, tags

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

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This model was converted and Quantized by Hugston Team.

HugstonOne Enterprise Edition

You can use the model with HugstonOne Enterprise Edition

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.