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Josiefied Qwen3 4B Instruct 2507 Abliterated V2 by Goekdeniz-Guelmez

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Josiefied Qwen3 4B Instruct 2507 Abliterated V2 is an open-source language model by Goekdeniz-Guelmez. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, Instruction-Based.

  Arxiv:2512.18901 Base model:finetune:heretic-or... Base model:heretic-org/qwen3-4...   Chat   Conversational   Endpoints compatible   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v2 
Josiefied Qwen3 4B Instruct 2507 Abliterated V2 (Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v2)
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Josiefied Qwen3 4B Instruct 2507 Abliterated V2 Parameters and Internals

LLM NameJosiefied Qwen3 4B Instruct 2507 Abliterated V2
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v2 
Base Model(s)  heretic-org/Qwen3-4B-Instruct-2507-heretic   heretic-org/Qwen3-4B-Instruct-2507-heretic
Model Size4b
Required VRAM8.1 GB
Updated2026-03-27
MaintainerGoekdeniz-Guelmez
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v2.

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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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