Qwen
Collection
Alibaba Cloud-based models
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1045 items
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Updated
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3
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/Qwen2.5-7B-Instruct-1M-abliterated
- model: Qwen/Qwen2.5-7B-Instruct-1M
merge_method: slerp
base_model: Qwen/Qwen2.5-7B-Instruct-1M
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0]
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 31.89 |
| IFEval (0-Shot) | 60.38 |
| BBH (3-Shot) | 33.63 |
| MATH Lvl 5 (4-Shot) | 32.10 |
| GPQA (0-shot) | 9.73 |
| MuSR (0-shot) | 18.10 |
| MMLU-PRO (5-shot) | 37.40 |
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the model is not deployed on the HF Inference API.
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard60.380
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard33.630
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard32.100
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.730
- acc_norm on MuSR (0-shot)Open LLM Leaderboard18.100
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.400