RichardErkhov/SanjiWatsuki_-_Kunoichi-7B-gguf

Quantization made by Richard Erkhov.

Kunoichi-7B - GGUF

Model creator: https://huggingface.co/SanjiWatsuki/
Original model: https://huggingface.co/SanjiWatsuki/Kunoichi-7B/

Name	Quant method	Size
Kunoichi-7B.Q2_K.gguf	Q2_K	2.53GB
Kunoichi-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Kunoichi-7B.IQ3_S.gguf	IQ3_S	2.96GB
Kunoichi-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Kunoichi-7B.IQ3_M.gguf	IQ3_M	3.06GB
Kunoichi-7B.Q3_K.gguf	Q3_K	3.28GB
Kunoichi-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Kunoichi-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Kunoichi-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Kunoichi-7B.Q4_0.gguf	Q4_0	3.83GB
Kunoichi-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Kunoichi-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Kunoichi-7B.Q4_K.gguf	Q4_K	4.07GB
Kunoichi-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Kunoichi-7B.Q4_1.gguf	Q4_1	4.24GB
Kunoichi-7B.Q5_0.gguf	Q5_0	4.65GB
Kunoichi-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Kunoichi-7B.Q5_K.gguf	Q5_K	4.78GB
Kunoichi-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Kunoichi-7B.Q5_1.gguf	Q5_1	5.07GB
Kunoichi-7B.Q6_K.gguf	Q6_K	5.53GB
Kunoichi-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-nc-4.0 tags: - merge

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

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.

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 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	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