Qwen
Collection
Alibaba Cloud-based models
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898 items
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Updated
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Merge
This is a merge of pre-trained language models created using mergekit.
Quant: https://huggingface.co/Triangle104/Q2.5-EvaHumane-RP-Q4_K_M-GGUF
Merge Details
Addition of EVA-Qwen Model to try to broaden RP abilities.
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: Triangle104/Q2.5-Humane-RP
- model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
merge_method: slerp
base_model: Triangle104/Q2.5-Humane-RP
dtype: bfloat16
parameters:
t: [0, 0.5, 0.75, 1, 0.75, 0.5, 0]
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 26.03 |
| IFEval (0-Shot) | 36.76 |
| BBH (3-Shot) | 33.76 |
| MATH Lvl 5 (4-Shot) | 27.19 |
| GPQA (0-shot) | 9.17 |
| MuSR (0-shot) | 11.39 |
| MMLU-PRO (5-shot) | 37.92 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard36.760
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard33.760
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard27.190
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.170
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.390
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.920