flammen27-mistral-7B
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:
models:
- model: InferenceIllusionist/Excalibur-7b
layer_range: [0, 32]
- model: flammenai/flammen26-mistral-7B
layer_range: [0, 32]
merge_method: slerp
base_model: flammenai/flammen26-mistral-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: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 73.37 |
| AI2 Reasoning Challenge (25-Shot) | 69.80 |
| HellaSwag (10-Shot) | 87.39 |
| MMLU (5-Shot) | 65.01 |
| TruthfulQA (0-shot) | 68.87 |
| Winogrande (5-shot) | 81.69 |
| GSM8k (5-shot) | 67.48 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.800
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.390
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.010
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard68.870
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.690
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard67.480