PlumMath
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della merge method using meta-llama/Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: della
dtype: bfloat16
parameters:
normalize: true
models:
- model: ValiantLabs/Llama3.1-8B-ShiningValiant2
parameters:
density: 0.5
weight: 0.3
- model: ValiantLabs/Llama3.1-8B-Cobalt
parameters:
density: 0.5
weight: 0.2
base_model: meta-llama/Llama-3.1-8B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 13.80 |
| IFEval (0-Shot) | 22.42 |
| BBH (3-Shot) | 16.45 |
| MATH Lvl 5 (4-Shot) | 3.93 |
| GPQA (0-shot) | 9.06 |
| MuSR (0-shot) | 8.98 |
| MMLU-PRO (5-shot) | 21.95 |