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--- |
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license: other |
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tags: |
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- llama2 |
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--- |
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# Model Card: Zarafusionex 1.1 L2 7b |
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This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (53%) as a base with [Stable Beluga 7b](https://huggingface.co/stabilityai/StableBeluga-7B) (47%) and the result of this merge was merged with [LimaRP LLama2 7B Lora version of the day 07/23/2023](https://huggingface.co/lemonilia/limarp-llama2). |
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This merge of models(hermes and stable beluga) was done with this [script](https://github.com/zarakiquemparte/zaraki-tools/blob/main/merge-cli.py) |
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This merge of Lora with Model was done with this [script](https://github.com/zarakiquemparte/zaraki-tools/blob/main/apply-lora.py) |
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Quantized Model by @TheBloke: |
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- [GGML](https://huggingface.co/TheBloke/Zarafusionex-1.1-L2-7B-GGML) |
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- [GGUF](https://huggingface.co/TheBloke/Zarafusionex-1.1-L2-7B-GGUF) |
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- [GPTQ](https://huggingface.co/TheBloke/Zarafusionex-1.1-L2-7B-GPTQ) |
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Merge illustration: |
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## Usage: |
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Since this is a merge between Nous Hermes, Stable Beluga and LimaRP, the following instruction formats should work: |
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Alpaca 2: |
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``` |
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### Instruction: |
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<prompt> |
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### Response: |
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<leave a newline blank for model to respond> |
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``` |
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LimaRP instruction format: |
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``` |
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<<SYSTEM>> |
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<character card and system prompt> |
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<<USER>> |
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<prompt> |
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<<AIBOT>> |
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<leave a newline blank for model to respond> |
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``` |
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## Bias, Risks, and Limitations |
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This model is not intended for supplying factual information or advice in any form |
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## Training Details |
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This model is merged and can be reproduced using the tools mentioned above. Please refer to all provided links for extra model-specific details. |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_zarakiquemparte__zarafusionex-1.1-l2-7b) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 50.18 | |
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| ARC (25-shot) | 56.14 | |
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| HellaSwag (10-shot) | 79.34 | |
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| MMLU (5-shot) | 52.1 | |
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| TruthfulQA (0-shot) | 50.66 | |
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| Winogrande (5-shot) | 74.43 | |
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| GSM8K (5-shot) | 7.81 | |
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| DROP (3-shot) | 30.79 | |
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