my-output
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:
slices:
- sources:
- model: fblgit/cybertron-v4-qw7B-MGS
layer_range: [0, 28]
- model: Tsunami-th/Tsunami-0.5x-7B-Instruct
layer_range: [0, 28]
merge_method: slerp
base_model: Tsunami-th/Tsunami-0.5x-7B-Instruct
parameters:
t:
- filter: self_attn
value: [1, 0.75, 0.5, 0.25, 0]
- filter: mlp
value: [0, 0.25, 0.5, 0.75, 1]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.78 |
| IFEval (0-Shot) | 56.77 |
| BBH (3-Shot) | 37.25 |
| MATH Lvl 5 (4-Shot) | 30.74 |
| GPQA (0-shot) | 8.17 |
| MuSR (0-shot) | 12.79 |
| MMLU-PRO (5-shot) | 38.95 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard56.770
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard37.250
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard30.740
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.170
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.790
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.950