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Phi 4 Mini Instruct Heretic by TitleOS

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Phi 4 Mini Instruct Heretic is an open-source language model by TitleOS. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.24.

  Arxiv:2503.01743   Abliterated   Ar   Code   Conversational   Cs   Custom code   Da   De   Decensored   En   Endpoints compatible   Es   Fi   Fr   He   Heretic   Hu   Instruct   It   Ja   Ko   Multilingual   Nl   No   Phi3   Pl   Pt   Region:us   Ru   Safetensors   Sharded   Sv   Tensorflow   Th   Tr   Uk   Uncensored   Zh
Model Card on HF 🤗: https://huggingface.co/TitleOS/Phi-4-mini-instruct-heretic 

Phi 4 Mini Instruct Heretic Benchmarks

LLME Score: 0.23739
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 Heretic (TitleOS/Phi-4-mini-instruct-heretic)
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Phi 4 Mini Instruct Heretic Parameters and Internals

LLM NamePhi 4 Mini Instruct Heretic
Repository 🤗https://huggingface.co/TitleOS/Phi-4-mini-instruct-heretic 
Model Size3.8b
Required VRAM7.7 GB
Updated2026-07-16
MaintainerTitleOS
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 Version4.57.6
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size200064

Best Alternatives to Phi 4 Mini Instruct Heretic

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Phi 3 Mini 128K Instruct128K / 7.7 GB50
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB70
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NuExtract V1.5128K / 7.7 GB10851189
ECE EIFFEL 3Bv2128K / 7.7 GB60
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Phi 4 Mini Instruct128K / 7.7 GB317124
Note: green Score (e.g. "73.2") means that the model is better than TitleOS/Phi-4-mini-instruct-heretic.

Rank the Phi 4 Mini Instruct Heretic Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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