Qwen
Collection
Alibaba Cloud-based models
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1000 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 Details
We're all stories in the end
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: Krystalan/DRT-o1-14B
- model: v000000/Qwen2.5-Lumen-14B
merge_method: slerp
base_model: v000000/Qwen2.5-Lumen-14B
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. | 37.56 |
| IFEval (0-Shot) | 46.67 |
| BBH (3-Shot) | 48.91 |
| MATH Lvl 5 (4-Shot) | 45.77 |
| GPQA (0-shot) | 16.44 |
| MuSR (0-shot) | 19.88 |
| MMLU-PRO (5-shot) | 47.67 |
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Triangle104/Herodotos-14B
Collections including Triangle104/Herodotos-14B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard46.670
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard48.910
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard45.770
- acc_norm on GPQA (0-shot)Open LLM Leaderboard16.440
- acc_norm on MuSR (0-shot)Open LLM Leaderboard19.880
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard47.670