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Kunoichi 7B by SanjiWatsuki

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Kunoichi 7B is an open-source language model by SanjiWatsuki. Features: 7b LLM, VRAM: 14.5GB, Context: 8K, License: cc-by-nc-4.0, HF Score: 72.1, LLM Explorer Score: 0.13, Arc: 68.7, HellaSwag: 87.1, MMLU: 64.9, TruthfulQA: 64, WinoGrande: 81.1, GSM8K: 67.

  Deploy:azure   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SanjiWatsuki/Kunoichi-7B 

Kunoichi 7B Benchmarks

ARC: 68.69 vs 96.7 (so35)-29%
HellaSwag: 87.1 vs 95.3 (gpt4)-8.6%
MMLU: 64.9 vs 88.3 (so35)-26.5%
TruthfulQA: 64.04 vs 59 (gpt4)8.5%
WinoGrande: 81.06 vs 87.5 (gpt4)-7.4%
GSM8K: 67.02 vs 96.4 (so35)-30.5%
LLME Score: 0.13044
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kunoichi 7B (SanjiWatsuki/Kunoichi-7B)
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Kunoichi 7B Parameters and Internals

Model Type 
general purpose, RP
Use Cases 
Areas:
general purpose, role-playing (RP)
Applications:
ChatBot Arena, SillyTavern character card following
Additional Notes 
Kunoichi-7B is particularly effective when employed within an 8k context window, although it can be used experimentally up to 16k using NTK RoPE alpha of 2.6.
Input Output 
Input Format:
Custom format or Alpaca
Accepted Modalities:
text
Performance Tips:
Adjust temperature or min p to boost creativity or stability in SillyTavern configurations.
LLM NameKunoichi 7B
Repository 🤗https://huggingface.co/SanjiWatsuki/Kunoichi-7B 
Model Size7b
Required VRAM14.5 GB
Updated2026-04-16
MaintainerSanjiWatsuki
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.6 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Kunoichi 7B

Model
Likes
Downloads
VRAM
Kunoichi 7B GGUF379573 GB
Kunoichi 7B GGUF1312 GB
Kunoichi 7B GPTQ1644 GB
Kunoichi 7B AWQ864 GB

Best Alternatives to Kunoichi 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
MegaBeam Mistral 7B 512K512K / 14.4 GB1144354
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB796816
Hebrew Mistral 7B 200K256K / 30 GB131615
Astral 256K 7B V2250K / 14.4 GB60
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than SanjiWatsuki/Kunoichi-7B.

Rank the Kunoichi 7B 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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