Merges
Collection
Experimental LLM merging
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1292 items
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Updated
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7
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 |
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Collection including MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.530
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.710
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.010
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard67.580
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard86.190
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard70.810