MaziyarPanahi/TheTop-5x7B-Instruct-S2-v0.1

Merge of top 7B models with SLERP method.

mergekit is a toolkit for merging pre-trained language models. mergekit uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.

Eval

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}

# [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_MaziyarPanahi__TheTop-5x7B-Instruct-S2-v0.1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |72.57|
|AI2 Reasoning Challenge (25-Shot)|69.45|
|HellaSwag (10-Shot)              |87.15|
|MMLU (5-Shot)                    |64.98|
|TruthfulQA (0-shot)              |62.18|
|Winogrande (5-shot)              |79.64|
|GSM8k (5-shot)                   |72.02|