130 lines
6.3 KiB
Markdown
130 lines
6.3 KiB
Markdown
---
|
||
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
|
||
|
||
|
||
|
||
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. Updated as of 2024-05-01.
|
||
|
||
### 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 2780 (revision [b0d943de](https://github.com/ggerganov/llama.cpp/commit/b0d943de))
|
||
|
||
### 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](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 | |