Phi 3 Mini 4K Instruct Introvert by raaec

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Phi 3 Mini 4K Instruct Introvert is an open-source language model by raaec. Features: 3.8b LLM, VRAM: 7.7GB, Context: 4K, Instruction-Based, LLM Explorer Score: 0.14.

  Autotrain compatible   Code   Conversational   Custom code   Endpoints compatible   Instruct   Multilingual   Phi3   Region:us   Safetensors   Sharded   Tensorflow

Phi 3 Mini 4K Instruct Introvert Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini 4K Instruct Introvert (raaec/Phi-3-mini-4k-instruct-introvert)
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Phi 3 Mini 4K Instruct Introvert Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
The model is ideal for applications requiring concise, reserved responses.
Additional Notes 
The model utilizes an ablation technique with minimal data to inhibit refusal and enhance introversion without altering other behaviors, sometimes resulting in funny responses.
Supported Languages 
primary_language (multilingual), additional_languages ()
Training Details 
Methodology:
Orthogonalization is applied to ablate extroverted behaviors.
LLM NamePhi 3 Mini 4K Instruct Introvert
Repository ๐Ÿค—https://huggingface.co/raaec/Phi-3-mini-4k-instruct-introvert 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-07-31
Maintainerraaec
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than raaec/Phi-3-mini-4k-instruct-introvert.

Rank the Phi 3 Mini 4K Instruct Introvert 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