Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 14
Think about the reasoning process in the mind first, then provide the answer.
The reasoning process should be wrapped within <think> </think> tags, then provide the answer after that, i.e., <think> reasoning process here </think> answer.
This model was merged using the Model Stock merge method using Qwen/Qwen2.5-7B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview+bunnycore/Qwen-2.5-7b-s1k-lora_model
parameters:
weight: 0.5
- model: bunnycore/QandoraExp-7B
- model: bunnycore/Qwen-2.5-7B-R1-Stock
- model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
- model: suayptalha/Clarus-7B-v0.3+bunnycore/Qwen-2.5-7b-s1k-lora_model
base_model: Qwen/Qwen2.5-7B-Instruct
merge_method: model_stock
parameters:
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-7B-Instruct
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 36.14 |
| IFEval (0-Shot) | 75.09 |
| BBH (3-Shot) | 36.40 |
| MATH Lvl 5 (4-Shot) | 48.94 |
| GPQA (0-shot) | 7.16 |
| MuSR (0-shot) | 11.69 |
| MMLU-PRO (5-shot) | 37.59 |