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
Quant: https://huggingface.co./Triangle104/Minerva-14b-Q4_K_M-GGUF
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: Spestly/Athena-1-14B
- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
merge_method: slerp
base_model: Spestly/Athena-1-14B
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. | 32.38 |
| IFEval (0-Shot) | 34.68 |
| BBH (3-Shot) | 47.06 |
| MATH Lvl 5 (4-Shot) | 30.36 |
| GPQA (0-shot) | 16.55 |
| MuSR (0-shot) | 19.04 |
| MMLU-PRO (5-shot) | 46.60 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard34.680
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard47.060
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard30.360
- acc_norm on GPQA (0-shot)Open LLM Leaderboard16.550
- acc_norm on MuSR (0-shot)Open LLM Leaderboard19.040
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard46.600