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Merge of top 7B models and the SLERP of other 7B models

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. 75.14
AI2 Reasoning Challenge (25-Shot) 72.53
HellaSwag (10-Shot) 88.71
MMLU (5-Shot) 65.01
TruthfulQA (0-shot) 67.58
Winogrande (5-shot) 86.19
GSM8k (5-shot) 70.81
Downloads last month
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Model size
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Tensor type
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Collection including MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1

Evaluation results