What are the hardware requirements for Kunoichi 7B GPTQ?

Kunoichi 7B GPTQ requires approximately 4.2 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 Kunoichi 7B GPTQ and how large is it?

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

Where can I download or evaluate Kunoichi 7B GPTQ?

Kunoichi 7B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kunoichi 7B GPTQ by TheBloke — VRAM 4.2GB, 8K context

Name: Kunoichi 7B GPTQ
Author: TheBloke

Kunoichi 7B GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 8K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:quantized:sanjiwats... Base model:sanjiwatsuki/kunoic... Gptq Merge Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Kunoichi-7B-GPTQ

Kunoichi 7B GPTQ Parameters and Internals

Model Type

mistral

Additional Notes

Kunoichi-7B is a SLERP merger between Sanji Watsuki's previous RP model, Silicon-Maid-7B, and an unreleased model "Ninja-7B". The model is intended to be used with up to an 8k context window and can be used experimentally up to a 16k context window.

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

LLM Name	Kunoichi 7B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Kunoichi-7B-GPTQ
Model Name	Kunoichi 7B
Model Creator	Sanji Watsuki
Base Model(s)	Kunoichi 7B SanjiWatsuki/Kunoichi-7B
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Kunoichi 7B GPTQ 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
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Multi-Language Support and Translation

Best Alternatives to Kunoichi 7B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...enHermes 2.5 Mistral 7B Marlin	32K / 4.1 GB	6	2
Zephyr 7B Beta Marlin	32K / 4.1 GB	16	0
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	113881	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2946	18
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2658	25
...istral 7B Pruned50 GPTQ Marlin	32K / 4 GB	5	0
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
Cosmosage V2	32K / 4.2 GB	8	4
...phyr 7B Beta Assistant V1 Gptq	32K / 4.2 GB	2	1

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