Josiefied Qwen3 4B Instruct 2507 Gabliterated V4 by Goekdeniz-Guelmez

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Josiefied Qwen3 4B Instruct 2507 Gabliterated V4 is an open-source language model by Goekdeniz-Guelmez. Features: 4b LLM, VRAM: 8GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.25.

  Arxiv:2512.18901 Base model:finetune:goekdeniz-... Base model:goekdeniz-guelmez/q...   Chat   Conversational   Endpoints compatible   Instruct   Qwen3   Region:us   Safetensors

Josiefied Qwen3 4B Instruct 2507 Gabliterated V4 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 4B Instruct 2507 Gabliterated V4 Parameters and Internals

LLM NameJosiefied Qwen3 4B Instruct 2507 Gabliterated V4
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v4 
Base Model(s)  ... 4B Instruct 2507 Gabliterated   Goekdeniz-Guelmez/Qwen3-4B-Instruct-2507-gabliterated
Model Size4b
Required VRAM8 GB
Updated2026-03-29
MaintainerGoekdeniz-Guelmez
Model Typeqwen3
Instruction-BasedYes
Model Files  8.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Bridger 4B256K / 8.1 GB1150
Qwen3 4B Instruct 2507256K / 8.1 GB3857125
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SimpleSD 4B Instruct256K / 8.1 GB2932
...wen3 4B Instruct 2507 SOM MPOA256K / 8 GB1040
Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v4.

Rank the Josiefied Qwen3 4B Instruct 2507 Gabliterated V4 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