SmolLM2-360M-Merged
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 HuggingFaceTB/SmolLM2-360M 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: HuggingFaceTB/SmolLM2-360M-Instruct
parameters:
weight: 1
merge_method: ties
base_model: HuggingFaceTB/SmolLM2-360M
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 7.13 |
| IFEval (0-Shot) | 32.06 |
| BBH (3-Shot) | 4.74 |
| MATH Lvl 5 (4-Shot) | 0.76 |
| GPQA (0-shot) | 0.78 |
| MuSR (0-shot) | 3.36 |
| MMLU-PRO (5-shot) | 1.09 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard32.060
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard4.740
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.760
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.780
- acc_norm on MuSR (0-shot)Open LLM Leaderboard3.360
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard1.090