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Maidphin Kunoichi 7B by nbeerbower

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Maidphin Kunoichi 7B is an open-source language model by nbeerbower. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, License: cc-by-nc-4.0, Merged, HF Score: 72, LLM Explorer Score: 0.13, Arc: 69.4, HellaSwag: 87.1, MMLU: 64.8, TruthfulQA: 64.3, WinoGrande: 80.4, GSM8K: 65.9.

  Merged Model   Base model:nbeerbower/maidphin Base model:sanjiwatsuki/kunoic...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Maidphin-Kunoichi-7B 

Maidphin Kunoichi 7B Benchmarks

ARC: 69.37 vs 96.7 (so35)-28.3%
HellaSwag: 87.11 vs 95.3 (gpt4)-8.6%
MMLU: 64.78 vs 88.3 (so35)-26.6%
TruthfulQA: 64.27 vs 59 (gpt4)8.9%
WinoGrande: 80.35 vs 87.5 (gpt4)-8.2%
GSM8K: 65.88 vs 96.4 (so35)-31.7%
LLME Score: 0.13341
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Maidphin Kunoichi 7B (nbeerbower/Maidphin-Kunoichi-7B)
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Maidphin Kunoichi 7B Parameters and Internals

Model Type 
pre-trained language model
Additional Notes 
This model is a merge of existing models using the SLERP merge method.
LLM NameMaidphin Kunoichi 7B
Repository 🤗https://huggingface.co/nbeerbower/Maidphin-Kunoichi-7B 
Base Model(s)  Kunoichi DPO V2 7B   nbeerbower/maidphin   SanjiWatsuki/Kunoichi-DPO-v2-7B   nbeerbower/maidphin
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-03-29
Maintainernbeerbower
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Maidphin-Kunoichi-7B.

Rank the Maidphin Kunoichi 7B 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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