PlumChat
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: sequelbox/Llama3.1-8B-MOTH
parameters:
density: 0.5
weight: 0.21
base_model: meta-llama/Llama-3.1-8B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 13.13 |
| IFEval (0-Shot) | 42.43 |
| BBH (3-Shot) | 13.94 |
| MATH Lvl 5 (4-Shot) | 3.10 |
| GPQA (0-shot) | 2.01 |
| MuSR (0-shot) | 4.77 |
| MMLU-PRO (5-shot) | 12.52 |
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Evaluation results
- acc on Winogrande (5-Shot)self-reported72.220
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard42.430
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard13.940
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard3.100
- acc_norm on GPQA (0-shot)Open LLM Leaderboard2.010
- acc_norm on MuSR (0-shot)Open LLM Leaderboard4.770
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard12.520