Qwen
Collection
Alibaba Cloud-based models
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1246 items
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Updated
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5
Merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Qwen2.5 Instruct tied to Reasoning LORA.
Merge Method
This model was merged using the Passthrough merge method using unsloth/Qwen2.5-3B-Instruct + bunnycore/Qwen-2.5-3b-R1-lora_model-v.1 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Qwen2.5-3B-Instruct+bunnycore/Qwen-2.5-3b-R1-lora_model-v.1
dtype: bfloat16
merge_method: passthrough
models:
- model: unsloth/Qwen2.5-3B-Instruct+bunnycore/Qwen-2.5-3b-R1-lora_model-v.1
tokenizer_source: unsloth/Qwen2.5-3B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.67 |
| IFEval (0-Shot) | 42.14 |
| BBH (3-Shot) | 27.20 |
| MATH Lvl 5 (4-Shot) | 26.74 |
| GPQA (0-shot) | 7.94 |
| MuSR (0-shot) | 12.73 |
| MMLU-PRO (5-shot) | 31.26 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard42.140
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard27.200
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard26.740
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.940
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.730
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard31.260