Kunoichi-7B Open-Source Large Language Model - Excellent for Both General Use and Role-Playing, with Outstanding Test Performance

Kunoichi 7B

Developed by SanjiWatsuki

Kunoichi-7B is a 7B-parameter large language model that excels in both general-purpose tasks and role-playing capabilities, demonstrating outstanding performance across multiple benchmarks.

Large Language Model

Transformers

#High-Intelligence Roleplay #8k Long Context #Multi-Benchmark Leader

Downloads 196

Release Time : 1/4/2024

Model Overview

This model is the SLERP fusion product of Silicon-Maid-7B and the unreleased Ninja-7B, significantly enhancing intelligence while retaining role-playing advantages, supporting an 8k context window with experimental extension to 16k.

Model Features

High Benchmark Performance

Outperforms comparable 7B models in benchmarks highly correlated with ChatBot Arena Elo, such as MT Bench and EQ Bench.

Role-Playing Capability

Retains the predecessor model's precise adherence to SillyTavern character cards.

Long Context Support

Natively supports an 8k context window, experimentally extendable to 16k via NTK RoPE alpha settings.

Model Fusion Technology

Utilizes SLERP fusion to combine the strengths of Silicon-Maid-7B and Ninja-7B.

Model Capabilities

General text generation

Role-playing dialogue

Long-text comprehension

Logical reasoning

Multi-turn conversations

Use Cases

Dialogue Systems

Role-Playing Chat

Delivers high-quality role-playing interactions on platforms like SillyTavern.

Precisely follows character card settings while maintaining coherence.

Intelligent Assistant

Functions as a general AI assistant for daily Q&A tasks.

Scores 8.14 on MT Bench, surpassing GPT-3.5-Turbo.

Education & Research

Benchmark Research

Used to evaluate the performance boundaries of 7B-parameter models.

Excels in benchmarks like AGIEval (44.99) and GPT4All (74.86).

🚀 Kunoichi-7B

This repository hosts Kunoichi-7B, a general - purpose model capable of RP. It shows excellent performance in both testing and benchmarks, inheriting the advantages of previous models and gaining more intelligence.

🚀 Quick Start

The model is intended to be used with up to an 8k context window. Using a NTK RoPE alpha of 2.6, the model can be used experimentally up to a 16k context window.

✨ Features

This repository hosts Kunoichi - 7B, an general purpose model capable of RP. In both testing and benchmarks, it is an extremely strong model, keeping the advantages of previous models but gaining more intelligence.
Kunoichi - 7B scores extremely well on all benchmarks which correlate closely with ChatBot Arena Elo.

📚 Documentation

Description

This repository hosts Kunoichi - 7B, an general purpose model capable of RP. In both my testing and the benchmarks, Kunoichi is an extremely strong model, keeping the advantages of my previous models but gaining more intelligence. Kunoichi scores extremely well on all benchmarks which correlate closely with ChatBot Arena Elo.

Model	MT Bench	EQ Bench	MMLU	Logic Test
GPT - 4 - Turbo	9.32	-	-	-
GPT - 4	8.99	62.52	86.4	0.86
Kunoichi - 7B	8.14	44.32	64.9	0.58
Starling - 7B	8.09	-	63.9	0.51
Claude - 2	8.06	52.14	78.5	-
Silicon - Maid - 7B	7.96	40.44	64.7	0.54
Loyal - Macaroni - Maid - 7B	7.95	38.66	64.9	0.57
GPT - 3.5 - Turbo	7.94	50.28	70	0.57
Claude - 1	7.9	-	77	-
Openchat - 3.5	7.81	37.08	64.3	0.39
Dolphin - 2.6 - DPO	7.74	42.88	61.9	0.53
Zephyr - 7B - beta	7.34	38.71	61.4	0.30
Llama - 2 - 70b - chat - hf	6.86	51.56	63	-
Neural - chat - 7b - v3 - 1	6.84	43.61	62.4	0.30

Prompt template: Custom format, or Alpaca

Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

SillyTavern format

I found the best SillyTavern results from using the Noromaid template.

SillyTavern config files: Context, Instruct.

Additionally, here is my highly recommended Text Completion preset. You can tweak this by adjusting temperature up or dropping min p to boost creativity or raise min p to increase stability. You shouldn't need to touch anything else!

WTF is Kunoichi - 7B?

Kunoichi - 7B is a SLERP merger between my previous RP model, Silicon - Maid - 7B, and an unreleased model that I had dubbed "Ninja - 7B". This model is the result of me attempting to merge an RP focused model which maintained the strengths of Silicon - Maid - 7B but further increased the model's brain power. I sought to increase both MT - Bench and EQ - Bench without losing Silicon Maid's strong ability to follow SillyTavern character cards.

Ninja - 7B was born from an attempt to turn [jan - hq/stealth - v1.2](https://huggingface.co/jan - hq/stealth - v1.2) into a viable model through mergers. Although none of the Ninja prototype models developed to a point where I was happy, it turned out to be a strong model to merge. Combined with Silicon - Maid - 7B, this appeared to be a strong merger.

Other Benchmarks

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
[Kunoichi - 7B](https://huggingface.co/SanjiWatsuki/Kunoichi - 7B)	57.54	44.99	74.86	63.72	46.58
[OpenPipe/mistral - ft - optimized - 1218](https://huggingface.co/OpenPipe/mistral - ft - optimized - 1218)	56.85	44.74	75.6	59.89	47.17
[Silicon - Maid - 7B](https://huggingface.co/SanjiWatsuki/Silicon - Maid - 7B)	56.45	44.74	74.26	61.5	45.32
[mlabonne/NeuralHermes - 2.5 - Mistral - 7B](https://huggingface.co/mlabonne/NeuralHermes - 2.5 - Mistral - 7B)	53.51	43.67	73.24	55.37	41.76
[teknium/OpenHermes - 2.5 - Mistral - 7B](https://huggingface.co/teknium/OpenHermes - 2.5 - Mistral - 7B)	52.42	42.75	72.99	52.99	40.94
openchat/openchat_3.5	51.34	42.67	72.92	47.27	42.51
[berkeley - nest/Starling - LM - 7B - alpha](https://huggingface.co/berkeley - nest/Starling - LM - 7B - alpha)	51.16	42.06	72.72	47.33	42.53
[HuggingFaceH4/zephyr - 7b - beta](https://huggingface.co/HuggingFaceH4/zephyr - 7b - beta)	50.99	37.33	71.83	55.1	39.7

📄 License

This project is licensed under the CC - BY - NC - 4.0 license.

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