merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model:
model:
path: Gille/StrangeMerges_21-7B-slerp
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.3, 0.5, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.7, 0.5, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 32]
model:
model:
path: eren23/dpo-binarized-NeutrixOmnibe-7B
- layer_range: [0, 32]
model:
model:
path: Gille/StrangeMerges_21-7B-slerp
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.20 |
| AI2 Reasoning Challenge (25-Shot) | 73.98 |
| HellaSwag (10-Shot) | 89.05 |
| MMLU (5-Shot) | 64.83 |
| TruthfulQA (0-shot) | 75.12 |
| Winogrande (5-shot) | 85.08 |
| GSM8k (5-shot) | 69.14 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard73.980
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard89.050
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.830
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard75.120
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard85.080
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard69.140