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Qwen3 0.6B Gabliterated by Goekdeniz-Guelmez

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Qwen3 0.6B Gabliterated is an open-source language model by Goekdeniz-Guelmez. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.23.

  Arxiv:2512.18901 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-0.6b Dataset:mlabonne/harmful behav... Dataset:mlabonne/harmless alpa...   Gabliteration   Model-index   Qwen3   Region:us   Safetensors   Uncensored
Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated 

Qwen3 0.6B Gabliterated Benchmarks

LLME Score: 0.23439
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 0.6B Gabliterated (Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated)
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Qwen3 0.6B Gabliterated Parameters and Internals

LLM NameQwen3 0.6B Gabliterated
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM1.2 GB
Updated2026-04-25
MaintainerGoekdeniz-Guelmez
Model Typeqwen3
Model Files  1.2 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.57.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 0.6B Instruct40K / 1.5 GB530
...ied Qwen3 0.6B Gabliterated V140K / 1.2 GB170
PARD Qwen3 0.6B40K / 1.5 GB30412
Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated.

Rank the Qwen3 0.6B Gabliterated 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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