Qwen
Collection
Alibaba Cloud-based models
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merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Quant: https://huggingface.co./Triangle104/Q2.5-EVACOT-7b-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: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
- model: prithivMLmods/QwQ-LCoT2-7B-Instruct
merge_method: slerp
base_model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
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. | 28.47 |
| IFEval (0-Shot) | 57.84 |
| BBH (3-Shot) | 35.72 |
| MATH Lvl 5 (4-Shot) | 16.39 |
| GPQA (0-shot) | 9.06 |
| MuSR (0-shot) | 14.80 |
| MMLU-PRO (5-shot) | 37.01 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard57.840
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.720
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard16.390
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.060
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.800
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.010