merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough 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: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
layer_range: [0, 39]
- sources:
- model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
layer_range: [8, 39]
merge_method: passthrough
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.33 |
| IFEval (0-Shot) | 19.58 |
| BBH (3-Shot) | 45.79 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 10.07 |
| MuSR (0-shot) | 12.94 |
| MMLU-PRO (5-shot) | 39.62 |
- Downloads last month
- 15
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for allknowingroger/Chocolatine-24B
Base model
jpacifico/Chocolatine-14B-Instruct-DPO-v1.2Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard19.580
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard45.790
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.000
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.070
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.940
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard39.620