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README.md
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This is the model for SauerkrautLM-UNA-SOLAR-Instruct. I used [mergekit](https://github.com/cg123/mergekit) to merge models.
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# Prompt Template(s)
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```
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dtype: bfloat16
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```
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This is the model for SauerkrautLM-UNA-SOLAR-Instruct. I used [mergekit](https://github.com/cg123/mergekit) to merge models.
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🥳 This model is currently (24 December 2023) **1'st place** in [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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<h2><details><summary>Screenshot</summary><img src=https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/cVhjAJhuPoNgHo7CDCmA-.png></img></details></h2>
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# Prompt Template(s)
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```
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dtype: bfloat16
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```
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# Quantizationed versions
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Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke).
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##### GPTQ
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- [TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-GPTQ](https://huggingface.co/TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-GPTQ)
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##### GGUF
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- [TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-GGUF](https://huggingface.co/TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-GGUF)
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##### AWQ
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- [TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-AWQ](https://huggingface.co/TheBloke/SauerkrautLM-UNA-SOLAR-Instruct-AWQ)
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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_Weyaxi__SauerkrautLM-UNA-SOLAR-Instruct)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 74.26 |
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| ARC (25-shot) | 70.9 |
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| HellaSwag (10-shot) | 88.3 |
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| MMLU (5-shot) | 66.15 |
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| TruthfulQA (0-shot) | 71.8 |
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| Winogrande (5-shot) | 83.74 |
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| GSM8K (5-shot) | 64.67 |
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