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Merge of top 7B models with DARE 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

Detailed results can be found here

Metric Value
Avg. 74.54
AI2 Reasoning Challenge (25-Shot) 71.76
HellaSwag (10-Shot) 88.21
MMLU (5-Shot) 64.86
TruthfulQA (0-shot) 66.32
Winogrande (5-shot) 84.37
GSM8k (5-shot) 71.72
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Model size
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Tensor type
BF16
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Collection including MaziyarPanahi/TheTop-5x7B-Instruct-D-v0.1

Evaluation results