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--- |
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base_model: |
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- SanjiWatsuki/Kunoichi-DPO-v2-7B |
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library_name: transformers |
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tags: |
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- mistral |
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- quantized |
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- text-generation-inference |
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pipeline_tag: text-generation |
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inference: false |
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license: cc-by-nc-4.0 |
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--- |
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# **GGUF-Imatrix quantizations for [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B/).** |
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*If you want any specific quantization to be added, feel free to ask.* |
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All credits belong to the [creator](https://huggingface.co/SanjiWatsuki/). |
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`Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)` |
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The new **IQ3_S** quant-option has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in `koboldcpp-1.59.1` or higher. |
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Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2277](https://github.com/ggerganov/llama.cpp/releases/tag/b2277). |
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For --imatrix data, `imatrix-Kunoichi-DPO-v2-7B-F16.dat` was used. |
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# Waifu card: |
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# Original model information: |
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| Model | MT Bench | EQ Bench | MMLU | Logic Test | |
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|----------------------|----------|----------|---------|-------------| |
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| GPT-4-Turbo | 9.32 | - | - | - | |
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| GPT-4 | 8.99 | 62.52 | 86.4 | 0.86 | |
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| **Kunoichi-DPO-v2-7B** | **8.51** | **42.18** | **64.94**| **0.58** | |
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| Mixtral-8x7B-Instruct| 8.30 | 44.81 | 70.6 | 0.75 | |
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| **Kunoichi-DPO-7B** | **8.29** | **41.60** | **64.83** | **0.59** | |
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| **Kunoichi-7B** | **8.14** | **44.32** | **64.9** | **0.58** | |
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| Starling-7B | 8.09 | - | 63.9 | 0.51 | |
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| Claude-2 | 8.06 | 52.14 | 78.5 | - | |
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| Silicon-Maid-7B | 7.96 | 40.44 | 64.7 | 0.54 | |
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| Loyal-Macaroni-Maid-7B | 7.95 | 38.66 | 64.9 | 0.57 | |
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| GPT-3.5-Turbo | 7.94 | 50.28 | 70 | 0.57 | |
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| Claude-1 | 7.9 | - | 77 | - | |
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| Openchat-3.5 | 7.81 | 37.08 | 64.3 | 0.39 | |
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| Dolphin-2.6-DPO | 7.74 | 42.88 | 61.9 | 0.53 | |
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| Zephyr-7B-beta | 7.34 | 38.71 | 61.4 | 0.30 | |
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| Llama-2-70b-chat-hf | 6.86 | 51.56 | 63 | - | |
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| Neural-chat-7b-v3-1 | 6.84 | 43.61 | 62.4 | 0.30 | |
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| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench | |
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|---|---:|---:|---:|---:|---:| |
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| **Kunoichi-DPO-7B**|**58.4**| 45.08 | 74| 66.99| 47.52| |
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| **Kunoichi-DPO-v2-7B**|**58.31**| 44.85| 75.05| 65.69| 47.65| |
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| [Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)|57.54| 44.99| 74.86| 63.72| 46.58| |
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| [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)| 56.85 | 44.74 | 75.6 | 59.89 | 47.17 | |
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| [Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) | 56.45| 44.74| 74.26| 61.5| 45.32| |
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| [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 | |
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| [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 | |
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| [openchat/openchat_3.5](https://huggingface.co/openchat/openchat_3.5) | 51.34 | 42.67 | 72.92 | 47.27 | 42.51 | |
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| [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 | |
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| [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) | 50.99 | 37.33 | 71.83 | 55.1 | 39.7 | |
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| Model | AlpacaEval2 | Length | |
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| --------------------------- | ----------- | ------ | |
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| GPT-4 | 23.58% | 1365 | |
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| GPT-4 0314 | 22.07% | 1371 | |
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| Mistral Medium | 21.86% | 1500 | |
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| Mixtral 8x7B v0.1 | 18.26% | 1465 | |
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| **Kunoichi-DPO-v2** | **17.19%** | 1785 | |
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| Claude 2 | 17.19% | 1069 | |
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| Claude | 16.99% | 1082 | |
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| Gemini Pro | 16.85% | 1315 | |
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| GPT-4 0613 | 15.76% | 1140 | |
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| Claude 2.1 | 15.73% | 1096 | |
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| Mistral 7B v0.2 | 14.72% | 1676 | |
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| GPT 3.5 Turbo 0613 | 14.13% | 1328 | |
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| LLaMA2 Chat 70B | 13.87% | 1790 | |
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| LMCocktail-10.7B-v1 | 13.15% | 1203 | |
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| WizardLM 13B V1.1 | 11.23% | 1525 | |
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| Zephyr 7B Beta | 10.99% | 1444 | |
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| OpenHermes-2.5-Mistral (7B) | 10.34% | 1107 | |
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| GPT 3.5 Turbo 0301 | 9.62% | 827 | |
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| **Kunoichi-7B** | **9.38%** | 1492 | |
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| GPT 3.5 Turbo 1106 | 9.18% | 796 | |
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| GPT-3.5 | 8.56% | 1018 | |
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| Phi-2 DPO | 7.76% | 1687 | |
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| LLaMA2 Chat 13B | 7.70% | 1513 | |
