--- license: cc-by-nc-4.0 model-index: - name: Kunoichi-DPO-7B results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 69.62 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 87.14 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 64.79 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 67.31 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 80.58 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-7B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 63.99 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SanjiWatsuki/Kunoichi-DPO-7B name: Open LLM Leaderboard --- ![image/png](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-7B/resolve/main/assets/kunoichi2.png) ## Description This repository hosts **Kunoichi-DPO-7B**, a DPO finetune using Intel's Orca pairs with the Alpaca template on Kunoichi-7B. This model is targeted at general use. In my testing, it has stronger reasoning and instruction following capabilities than Kunoichi-7B but it may be worse for roleplaying purposes due to the alignment from the Orca dataset. This model is undergoing benchmark testing and I will update the model page with the finalized results. | 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-7B** | **8.29** | **41.60** | - | **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-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 | 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](https://files.catbox.moe/ifmhai.json), [Instruct](https://files.catbox.moe/ttw1l9.json). Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co/SanjiWatsuki/Loyal-Macaroni-Maid-7B/blob/main/Characters/MinP.json). 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! # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_SanjiWatsuki__Kunoichi-DPO-7B) | Metric |Value| |---------------------------------|----:| |Avg. |72.24| |AI2 Reasoning Challenge (25-Shot)|69.62| |HellaSwag (10-Shot) |87.14| |MMLU (5-Shot) |64.79| |TruthfulQA (0-shot) |67.31| |Winogrande (5-shot) |80.58| |GSM8k (5-shot) |63.99|