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 bunnycore/Qwen2.5-7B-RRP-1M as a base.
Models Merged
The following models were included in the merge:
- mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1
- bunnycore/Qwen2.5-7B-RRP-1M + bunnycore/Qwen-2.5-7b-Cool-lora
- bunnycore/Qwen2.5-7B-RRP-1M + bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
- open-thoughts/OpenThinker-7B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: open-thoughts/OpenThinker-7B
- model: mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1
- model: bunnycore/Qwen2.5-7B-RRP-1M+bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
- model: bunnycore/Qwen2.5-7B-RRP-1M+bunnycore/Qwen-2.5-7b-Cool-lora
merge_method: model_stock
base_model: bunnycore/Qwen2.5-7B-RRP-1M
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: bunnycore/Qwen2.5-7B-RRP-1M
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 33.21 |
IFEval (0-Shot) | 76.73 |
BBH (3-Shot) | 35.87 |
MATH Lvl 5 (4-Shot) | 28.85 |
GPQA (0-shot) | 6.71 |
MuSR (0-shot) | 14.90 |
MMLU-PRO (5-shot) | 36.18 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard76.730
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.870
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard28.850
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.710
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.900
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard36.180