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_20-7B-slerp
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.1, 0.3, 0.5, 0.7, 0.9]
- filter: mlp
value: [0.9, 0.7, 0.5, 0.3, 0.1]
- value: 0.45
slices:
- sources:
- layer_range: [0, 32]
model:
model:
path: Gille/StrangeMerges_20-7B-slerp
- layer_range: [0, 32]
model:
model:
path: bardsai/jaskier-7b-dpo-v4.3
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.21 |
| AI2 Reasoning Challenge (25-Shot) | 74.32 |
| HellaSwag (10-Shot) | 89.07 |
| MMLU (5-Shot) | 64.97 |
| TruthfulQA (0-shot) | 74.57 |
| Winogrande (5-shot) | 84.53 |
| GSM8k (5-shot) | 69.83 |
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Model size
7B params
Tensor type
BF16
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard74.320
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard89.070
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.970
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard74.570
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard84.530
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard69.830