What are the hardware requirements for Maidphin Kunoichi 7B?

Maidphin Kunoichi 7B requires approximately 14.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Maidphin Kunoichi 7B and how large is it?

Maidphin Kunoichi 7B is developed by nbeerbower, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Maidphin Kunoichi 7B perform on standard benchmarks?

Maidphin Kunoichi 7B has the following published scores: MMLU 64.78. Compare against reference models on this page or on the LLM Explorer leaderboards.

Maidphin Kunoichi 7B by nbeerbower — VRAM 14.4GB, 8K context

Name: Maidphin Kunoichi 7B
Author: nbeerbower

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, LLM Explorer Score: 0.12, Arc: 69.4, HellaSwag: 87.1, MMLU: 64.8, 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 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 Name	Maidphin 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 Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-05
Maintainer	nbeerbower
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.37.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

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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Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

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