merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using O1-OPEN/OpenO1-LLama-8B-v0.1 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: O1-OPEN/OpenO1-LLama-8B-v0.1
parameters:
density: 0.7
weight: 0.7
- model: THUDM/LongWriter-llama3.1-8b
parameters:
density: 0.3
weight: 0.3
merge_method: ties
base_model: O1-OPEN/OpenO1-LLama-8B-v0.1
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 19.47 |
| IFEval (0-Shot) | 36.09 |
| BBH (3-Shot) | 28.42 |
| MATH Lvl 5 (4-Shot) | 15.63 |
| GPQA (0-shot) | 1.90 |
| MuSR (0-shot) | 6.70 |
| MMLU-PRO (5-shot) | 28.08 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard36.090
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard28.420
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard15.630
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.900
- acc_norm on MuSR (0-shot)Open LLM Leaderboard6.700
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.080