--- base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B inference: false language: - en license: cc-by-nc-4.0 model_creator: SanjiWatsuki model_name: Kunoichi-DPO-v2-7B model_type: mistral pipeline_tag: text-generation prompt_template: "{{system_message}} ### Instruction: {{prompt}} ### Response: " quantized_by: brittlewis12 --- # Kunoichi-DPO-v2-7B GGUF ![Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B/resolve/main/assets/kunoichi.png) Original model: [Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) Model creator: [SanjiWatsuki](https://huggingface.co/SanjiWatsuki) This repo contains GGUF format model files for SanjiWatsuki’s Kunoichi-DPO-v2-7B. ### What is GGUF? GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. Converted using llama.cpp build 1879 (revision [3e5ca79](https://github.com/ggerganov/llama.cpp/commit/3e5ca7931c68152e4ec18d126e9c832dd84914c8)) ### Prompt template: Unknown (Alpaca) [Alpaca-style](https://huggingface.co/SanjiWatsuki/Kunoichi-7B#prompt-template-custom-format-or-alpaca) was the prompt format for the original [Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B). ``` Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {{prompt}} ### Response: ``` --- ## Download & run with [cnvrs](https://twitter.com/cnvrsai) on iPhone, iPad, and Mac! ![cnvrs.ai](https://pbs.twimg.com/profile_images/1744049151241797632/0mIP-P9e_400x400.jpg) [cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device: - create & save **Characters** with custom system prompts & temperature settings - download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)! - make it your own with custom **Theme colors** - powered by Metal ⚡️ & [Llama.cpp](https://github.com/ggerganov/llama.cpp), with **haptics** during response streaming! - **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)! - follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date --- ## Original Model Evaluations: | 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** | - | **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 | | 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](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](https://huggingface.co/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 | | 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 |