WizardIceLemonTeaRP-32k
This is a merge of pre-trained language models created using mergekit.
Merge Details
I have mix feelings with this merge result. It's for merges!! Not usable! Try WestIceLemonTeaRP-32k-7b instead.
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- IceLemonTeaRP-32k-7b
- Not-WizardLM-2-7B
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Not-WizardLM-2-7B
layer_range: [0, 32]
- model: IceLemonTeaRP-32k-7b
layer_range: [0, 32]
merge_method: slerp
base_model: Not-WizardLM-2-7B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 67.31 |
| AI2 Reasoning Challenge (25-Shot) | 65.61 |
| HellaSwag (10-Shot) | 85.39 |
| MMLU (5-Shot) | 63.29 |
| TruthfulQA (0-shot) | 58.30 |
| Winogrande (5-shot) | 77.03 |
| GSM8k (5-shot) | 54.21 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.610
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.390
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.290
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard58.300
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.030
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard54.210