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README.md
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>A mixture of [Sao10K/Solstice-11B-v1](https://huggingface.co/Sao10K/Solstice-11B-v1) and [saishf/Fimbulvetr-Kuro-Lotus-10.7B](https://huggingface.co/saishf/Fimbulvetr-Kuro-Lotus-10.7B)
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* [Himitsui/Kaiju-11B](https://huggingface.co/Himitsui/Kaiju-11B)
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### Configuration
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The following YAML configuration was used to produce this model:
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>A mixture of [Sao10K/Solstice-11B-v1](https://huggingface.co/Sao10K/Solstice-11B-v1) and [saishf/Fimbulvetr-Kuro-Lotus-10.7B](https://huggingface.co/saishf/Fimbulvetr-Kuro-Lotus-10.7B)
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* [Himitsui/Kaiju-11B](https://huggingface.co/Himitsui/Kaiju-11B)
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### OpenLLM Eval Results
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[Detailed Results + Failed GSM8K](https://huggingface.co/datasets/open-llm-leaderboard/details_ABX-AI__Silver-Sun-11B)
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>[NOTE] I had to remove GSM8K from the results and manually re-average the rest. GSM8K failed inexplicably, and it should not have.
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>By removing the GSM8K score, the average is VERY close to upstage/SOLAR-10.7B-v1.0 (74.20), which would make sense.
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| Metric |Value|
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|Avg. |74.13|
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|AI2 Reasoning Challenge (25-Shot)|69.80|
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|HellaSwag (10-Shot) |87.91|
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|MMLU (5-Shot) |66.90|
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|TruthfulQA (0-shot) |61.89|
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|Winogrande (5-shot) |84.14|
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### Configuration
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The following YAML configuration was used to produce this model:
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