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Llama-3-Instruct-8B-SimPO-SPPO-Iter3-merge
This is a merge of pre-trained language models created using mergekit.
Built with Meta Llama 3.
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: princeton-nlp/Llama-3-Instruct-8B-SimPO
layer_range:
- 0
- 32
- model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
layer_range:
- 0
- 32
merge_method: slerp
base_model: princeton-nlp/Llama-3-Instruct-8B-SimPO
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. | 23.59 |
| IFEval (0-Shot) | 68.06 |
| BBH (3-Shot) | 29.07 |
| MATH Lvl 5 (4-Shot) | 6.19 |
| GPQA (0-shot) | 1.68 |
| MuSR (0-shot) | 6.70 |
| MMLU-PRO (5-shot) | 29.83 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard68.060
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard29.070
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard6.190
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.680
- acc_norm on MuSR (0-shot)Open LLM Leaderboard6.700
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.830