Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
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Published
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13
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock merge method using Qwen/Qwen2.5-3B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: bunnycore/Qwen2.5-3B-RP-Thinker-V2+bunnycore/Qwen-2.5-s1k-R1-lora-v1.1
- model: bunnycore/Qwen2.5-3B-Model-Stock-v2
- model: bunnycore/QwQen-3B-LCoT+bunnycore/Qwen-2.5-3b-R1-lora_model-v.1
base_model: Qwen/Qwen2.5-3B-Instruct
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-3B-Instruct
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.39 |
| IFEval (0-Shot) | 63.53 |
| BBH (3-Shot) | 26.33 |
| MATH Lvl 5 (4-Shot) | 37.54 |
| GPQA (0-shot) | 4.47 |
| MuSR (0-shot) | 6.97 |
| MMLU-PRO (5-shot) | 25.49 |