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Josiefied Qwen3 4B Abliterated V2 by Goekdeniz-Guelmez

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Josiefied Qwen3 4B Abliterated V2 is an open-source language model by Goekdeniz-Guelmez. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Chat   Conversational   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v2 

Josiefied Qwen3 4B Abliterated V2 Benchmarks

LLME Score: 0.18987
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Josiefied Qwen3 4B Abliterated V2 (Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v2)
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Josiefied Qwen3 4B Abliterated V2 Parameters and Internals

LLM NameJosiefied Qwen3 4B Abliterated V2
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v2 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-06-17
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
Transformers Version4.57.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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FastContext 1.0 4B SFT256K / 8.1 GB11313
Agents K1256K / 8.8 GB72522
Karnak 6B V1.0256K / 11.9 GB13370
CyberSecQwen 4B256K / 8 GB61614
Jan Code 4B256K / 8.9 GB41778
Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v2.

Rank the Josiefied Qwen3 4B 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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