merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SCE merge method using Qwen/Qwen2.5-7B-Instruct-1M as a base.
Models Merged
The following models were included in the merge:
- open-thoughts/OpenThinker-7B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- NovaSky-AI/Sky-T1-mini
- open-r1/OpenR1-Qwen-7B
Configuration
The following YAML configuration was used to produce this model:
models:
# Pivot model
- model: Qwen/Qwen2.5-7B-Instruct-1M
# Target models
- model: open-r1/OpenR1-Qwen-7B
- model: open-thoughts/OpenThinker-7B
- model: NovaSky-AI/Sky-T1-mini
- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
merge_method: sce
base_model: Qwen/Qwen2.5-7B-Instruct-1M
parameters:
select_topk: 1.0
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 7.37 |
IFEval (0-Shot) | 23.05 |
BBH (3-Shot) | 8.90 |
MATH Lvl 5 (4-Shot) | 2.95 |
GPQA (0-shot) | 5.26 |
MuSR (0-shot) | 1.27 |
MMLU-PRO (5-shot) | 2.81 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard23.050
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard8.900
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.950
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.260
- acc_norm on MuSR (0-shot)Open LLM Leaderboard1.270
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard2.810