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Josiefied Qwen2.5 7B Instruct Abliterated V2 by Goekdeniz-Guelmez

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Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 

Josiefied Qwen2.5 7B Instruct Abliterated V2 Benchmarks

MMLU Pro: 34.66
GPQA: 6.49
MUSR: 13.96
BBH: 33.33
IFEval: 78.14 vs 88 (so35)-11.2%
MATH Lvl 5: 45.32
LLME Score: 0.33095
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Josiefied Qwen2.5 7B Instruct Abliterated V2 Parameters and Internals

LLM NameJosiefied Qwen2.5 7B Instruct Abliterated V2
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-06-11
MaintainerGoekdeniz-Guelmez
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Josiefied Qwen2.5 7B Instruct Abliterated V2 (Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2)

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Rank the Josiefied Qwen2.5 7B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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