merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond 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: model_stock
models:
- model: artificialguybr/LLAMA-3.2-1B-OpenHermes2.5
parameters:
weight: 1.0
- model: cognitivecomputations/Dolphin3.0-Llama3.2-1B
parameters:
weight: 1.0
base_model: artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 5.41 |
| IFEval (0-Shot) | 21.57 |
| BBH (3-Shot) | 4.77 |
| MATH Lvl 5 (4-Shot) | 2.19 |
| GPQA (0-shot) | 0.00 |
| MuSR (0-shot) | 1.42 |
| MMLU-PRO (5-shot) | 2.52 |
- Downloads last month
- 20
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for Nexesenex/Llama_3.2_1b_Syneridol_0.2
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard21.570
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard4.770
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.190
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.000
- acc_norm on MuSR (0-shot)Open LLM Leaderboard1.420
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard2.520