| base_model: | |
| - Qwen/Qwen2.5-Math-1.5B | |
| - Qwen/Qwen2.5-1.5B-Instruct | |
| - Qwen/Qwen2.5-1.5B | |
| - Qwen/Qwen2.5-Coder-1.5B | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # taskarithmetic | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Qwen/Qwen2.5-Math-1.5B](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B) | |
| * [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) | |
| * [Qwen/Qwen2.5-Coder-1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| # Task Arithmetic | |
| # Each lambda is 0.3, refer to AdaMerging Fig.1 [https://arxiv.org/abs/2310.02575] | |
| base_model: Qwen/Qwen2.5-1.5B | |
| models: | |
| - model: Qwen/Qwen2.5-1.5B-Instruct | |
| parameters: | |
| weight: 1.0 | |
| - model: Qwen/Qwen2.5-Math-1.5B | |
| parameters: | |
| weight: 1.0 | |
| - model: Qwen/Qwen2.5-Coder-1.5B | |
| parameters: | |
| weight: 1.0 | |
| merge_method: task_arithmetic | |
| parameters: | |
| normalize: false | |
| lambda: 0.3 | |
| dtype: float16 | |
| tokenizer: | |
| source: union | |
| ``` | |