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Phi 4 Mini Instruct Abliterated by lunahr

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  Abliterated   Ar   Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-4-min...   Code   Conversational   Cs   Custom code   Da   De   En   Endpoints compatible   Es   Fi   Fr   He   Hu   Instruct   It   Ja   Ko   Multilingual   Nl   No   Phi3   Pl   Pt   Region:us   Ru   Safetensors   Sharded   Sv   Tensorflow   Th   Tr   Uk   Zh
Model Card on HF πŸ€—: https://huggingface.co/lunahr/Phi-4-mini-instruct-abliterated 

Phi 4 Mini Instruct Abliterated Benchmarks

LLME Score: 0.29872
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 4 Mini Instruct Abliterated (lunahr/Phi-4-mini-instruct-abliterated)

Phi 4 Mini Instruct Abliterated Parameters and Internals

LLM NamePhi 4 Mini Instruct Abliterated
Repository πŸ€—https://huggingface.co/lunahr/Phi-4-mini-instruct-abliterated 
Base Model(s)  Phi 4 Mini Instruct   microsoft/Phi-4-mini-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2025-03-21
Maintainerlunahr
Model Typephi3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-2   2.8 GB: 2-of-2
Supported Languagesar zh cs da nl en fi fr de he hu it ja ko no pl pt ru es sv th tr uk
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassGPT2Tokenizer
Padding Token<｜PAD▁TOKEN｜>
Vocabulary Size200064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lunahr/Phi-4-mini-instruct-abliterated.

Rank the Phi 4 Mini Instruct Abliterated 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 v20241227
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