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Qwen3.5 4B Abliterated by wangzhang

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Qwen3.5 4B Abliterated is an open-source language model by wangzhang. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, LLM Explorer Score: 0.24.

  Abliterated   Abliterix Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-4b   Conversational   Decensored   Qwen3 5 text   Region:us   Safetensors   Uncensored
Model Card on HF 🤗: https://huggingface.co/wangzhang/Qwen3.5-4B-abliterated 

Qwen3.5 4B Abliterated Benchmarks

LLME Score: 0.24102
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 4B Abliterated (wangzhang/Qwen3.5-4B-abliterated)

Qwen3.5 4B Abliterated Parameters and Internals

LLM NameQwen3.5 4B Abliterated
Repository 🤗https://huggingface.co/wangzhang/Qwen3.5-4B-abliterated 
Base Model(s)  Qwen/Qwen3.5-4B   Qwen/Qwen3.5-4B
Model Size4b
Required VRAM8.4 GB
Updated2026-07-21
Maintainerwangzhang
Model Typeqwen3_5_text
Model Files  8.4 GB
Model ArchitectureQwen3_5ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version5.3.0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to Qwen3.5 4B Abliterated

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Qwen35 4B Soyuz Merged256K / 8.4 GB12313
Qwen3.5 4B EU256K / 9.7 GB4740
Retrico Lm 4B Finetuned V4256K / 0 GB1430
Qwen3.5 4B INT8256K / 4.8 GB1112
Holo 3.1 4B Coder256K / 16.8 GB241
Distil Qwen35 4B256K / 8.4 GB2222
...n3.5 4B Ru Norm Link Extractor256K / 8.4 GB140
Qwen3.5 4B Ru Json Extractor256K / 8.4 GB60
Qwen3.5 4B INT8256K / 4.8 GB212
Zira Researcher256K / 8.4 GB2611
Note: green Score (e.g. "73.2") means that the model is better than wangzhang/Qwen3.5-4B-abliterated.

Rank the Qwen3.5 4B Abliterated Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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