Kunoichi-DPO-v2-7B Open-Source Large Language Model - Excels in Multiple Tests to Boost Diverse Text Applications

Kunoichi DPO V2 7B

Developed by SanjiWatsuki

Kunoichi-DPO-v2-7B is a 7B-parameter large language model based on the Mistral architecture, optimized with Direct Preference Optimization (DPO) training, demonstrating outstanding performance in multiple benchmarks.

Large Language Model

Transformers

#Superior reasoning capability #Multi-turn dialogue optimization #Complex task handling

Downloads 185

Release Time : 1/13/2024

Model Overview

This model is an optimized conversational language model focused on delivering high-quality text generation and comprehension capabilities, suitable for various natural language processing tasks.

Model Features

DPO-optimized training

Utilizes Direct Preference Optimization method for training, enhancing dialogue quality and consistency

High performance

Outperforms peer 7B-parameter models in benchmarks like MT Bench and EQ Bench

Versatility

Supports various NLP tasks including text generation, question answering, and dialogue systems

Model Capabilities

Text generation

Dialogue systems

Question answering systems

Logical reasoning

Knowledge-based QA

Use Cases

Intelligent assistants

Virtual customer service

Automated Q&A system for customer service scenarios

Capable of providing accurate and coherent customer service responses

Education

Learning assistance

Helps students with academic questions

Performs well on knowledge tests like MMLU

🚀 Kunoichi Model Performance Comparison

This README presents a comprehensive comparison of various language models, including the Kunoichi series, across multiple evaluation benchmarks. It provides detailed performance metrics to help users understand the capabilities of different models.

📊 Model Performance Tables

Benchmark Results 1

Model	MT Bench	EQ Bench	MMLU	Logic Test
GPT-4-Turbo	9.32	-	-	-
GPT-4	8.99	62.52	86.4	0.86
Kunoichi-DPO-v2-7B	8.51	42.18	64.94	0.58
Mixtral-8x7B-Instruct	8.30	44.81	70.6	0.75
Kunoichi-DPO-7B	8.29	41.60	64.83	0.59
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

Benchmark Results 2

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
Kunoichi-DPO-7B	58.4	45.08	74	66.99	47.52
Kunoichi-DPO-v2-7B	58.31	44.85	75.05	65.69	47.65
Kunoichi-7B	57.54	44.99	74.86	63.72	46.58
OpenPipe/mistral-ft-optimized-1218	56.85	44.74	75.6	59.89	47.17
Silicon-Maid-7B	56.45	44.74	74.26	61.5	45.32
mlabonne/NeuralHermes-2.5-Mistral-7B	53.51	43.67	73.24	55.37	41.76
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	51.16	42.06	72.72	47.33	42.53
HuggingFaceH4/zephyr-7b-beta	50.99	37.33	71.83	55.1	39.7

Benchmark Results 3

Model	AlpacaEval2	Length
GPT-4	23.58%	1365
GPT-4 0314	22.07%	1371
Mistral Medium	21.86%	1500
Mixtral 8x7B v0.1	18.26%	1465
Kunoichi-DPO-v2	17.19%	1785
Claude 2	17.19%	1069
Claude	16.99%	1082
Gemini Pro	16.85%	1315
GPT-4 0613	15.76%	1140
Claude 2.1	15.73%	1096
Mistral 7B v0.2	14.72%	1676
GPT 3.5 Turbo 0613	14.13%	1328
LLaMA2 Chat 70B	13.87%	1790
LMCocktail-10.7B-v1	13.15%	1203
WizardLM 13B V1.1	11.23%	1525
Zephyr 7B Beta	10.99%	1444
OpenHermes-2.5-Mistral (7B)	10.34%	1107
GPT 3.5 Turbo 0301	9.62%	827
Kunoichi-7B	9.38%	1492
GPT 3.5 Turbo 1106	9.18%	796
GPT-3.5	8.56%	1018
Phi-2 DPO	7.76%	1687
LLaMA2 Chat 13B	7.70%	1513

📄 License

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

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご