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 zztheaven/Llama-3.2-1B-Instruct-Open-R1-GRPO 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: KingNish/Reasoning-Llama-1b-v0.1
parameters:
weight: 1.0
- model: prithivMLmods/Bellatrix-Tiny-1B-R1
parameters:
weight: 1.0
base_model: zztheaven/Llama-3.2-1B-Instruct-Open-R1-GRPO
dtype: bfloat16
normalize: true
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 12.34 |
| IFEval (0-Shot) | 53.66 |
| BBH (3-Shot) | 6.21 |
| MATH Lvl 5 (4-Shot) | 4.76 |
| GPQA (0-shot) | 0.34 |
| MuSR (0-shot) | 1.60 |
| MMLU-PRO (5-shot) | 7.50 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard53.660
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard6.210
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard4.760
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.340
- acc_norm on MuSR (0-shot)Open LLM Leaderboard1.600
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard7.500