Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper
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2311.03099
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Published
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30
Thanks to @Lewdiculous for the imatrix quants: https://huggingface.co/Lewdiculous/Prima-LelantaclesV6-7b-GGUF-IQ-Imatrix
This model was merged using the DARE TIES
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_ties
base_model: Test157t/Lelantacles6-Experiment26-7B
parameters:
normalize: true
models:
- model: Test157t/West-Pasta-Lake-7b
parameters:
weight: 1
- model: Test157t/Lelantacles6-Experiment26-7B
parameters:
weight: 1
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 73.41 |
| AI2 Reasoning Challenge (25-Shot) | 71.50 |
| HellaSwag (10-Shot) | 87.65 |
| MMLU (5-Shot) | 64.64 |
| TruthfulQA (0-shot) | 64.29 |
| Winogrande (5-shot) | 84.85 |
| GSM8k (5-shot) | 67.55 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard71.500
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.650
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.640
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard64.290
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard84.850
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard67.550