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 using Qwen/Qwen2.5-3B-Instruct + bunnycore/Qwen-2.5-3b-Rp-lora_model as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: Qwen/Qwen2.5-3B-Instruct+bunnycore/Qwen-2.5-3b-Rp-lora_model
dtype: bfloat16
merge_method: passthrough
models:
- model: Qwen/Qwen2.5-3B-Instruct+bunnycore/Qwen-2.5-3b-Rp-lora_model
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 23.15 |
| IFEval (0-Shot) | 57.21 |
| BBH (3-Shot) | 28.31 |
| MATH Lvl 5 (4-Shot) | 7.40 |
| GPQA (0-shot) | 3.13 |
| MuSR (0-shot) | 12.56 |
| MMLU-PRO (5-shot) | 30.31 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard57.210
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard28.310
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard7.400
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.130
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.560
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.310