Josiefied Qwen3 0.6B Abliterated V2 by Goekdeniz-Guelmez

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Josiefied Qwen3 0.6B Abliterated V2 is an open-source language model by Goekdeniz-Guelmez. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-0.6b   Chat   Conversational   Mlx   Qwen3   Region:us   Safetensors

Josiefied Qwen3 0.6B Abliterated V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Josiefied Qwen3 0.6B Abliterated V2 (Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2)
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Josiefied Qwen3 0.6B Abliterated V2 Parameters and Internals

LLM NameJosiefied Qwen3 0.6B Abliterated V2
Repository ๐Ÿค—https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM1.2 GB
Updated2026-03-28
MaintainerGoekdeniz-Guelmez
Model Typeqwen3
Model Files  1.2 GB
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version5.0.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen3-0.6B-abliterated-v2.

Rank the Josiefied Qwen3 0.6B Abliterated V2 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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Release v20260328a