SmolLM2-135M-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/SmolLM2-135M 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/SmolLM2-135M-Instruct
parameters:
weight: 1
merge_method: ties
base_model: HuggingFaceTB/SmolLM2-135M
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 5.73 |
| IFEval (0-Shot) | 24.83 |
| BBH (3-Shot) | 4.59 |
| MATH Lvl 5 (4-Shot) | 0.30 |
| GPQA (0-shot) | 0.00 |
| MuSR (0-shot) | 3.44 |
| MMLU-PRO (5-shot) | 1.24 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard24.830
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard4.590
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.300
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.000
- acc_norm on MuSR (0-shot)Open LLM Leaderboard3.440
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard1.240