Qwen
Collection
Alibaba Cloud-based models
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1081 items
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Updated
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4
merge
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
merge_method: slerp
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
dtype: bfloat16
parameters:
t: [0, 0.5, 0.7, 1, 0.7, 0.5, 0]
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 35.74 |
| IFEval (0-Shot) | 45.15 |
| BBH (3-Shot) | 38.72 |
| MATH Lvl 5 (4-Shot) | 39.50 |
| GPQA (0-shot) | 19.13 |
| MuSR (0-shot) | 31.92 |
| MMLU-PRO (5-shot) | 40.01 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard45.150
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard38.720
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard39.500
- acc_norm on GPQA (0-shot)Open LLM Leaderboard19.130
- acc_norm on MuSR (0-shot)Open LLM Leaderboard31.920
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard40.010