| base_model: | |
| - deepcogito/cogito-v1-preview-qwen-14B | |
| - Qwen/Qwen2.5-14B-Instruct-1M | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # merge | |
| 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [deepcogito/cogito-v1-preview-qwen-14B](https://huggingface.co/deepcogito/cogito-v1-preview-qwen-14B) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Qwen/Qwen2.5-14B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| merge_method: ties | |
| base_model: deepcogito/cogito-v1-preview-qwen-14B # Or Qwen2.5, experiment maybe | |
| dtype: bfloat16 # Or float16 if bf16 not well supported | |
| models: | |
| - model: deepcogito/cogito-v1-preview-qwen-14B | |
| # Parameters for TIES - density controls sparsity, weight influences importance | |
| parameters: | |
| density: 0.6 # Start around 0.5-0.7, higher keeps more parameters | |
| weight: 0.6 # Slightly favor cogito for performance | |
| - model: Qwen/Qwen2.5-14B-Instruct-1M | |
| parameters: | |
| density: 0.6 # Keep density consistent usually | |
| weight: 0.4 # Give less weight but allow its parameters to win conflicts where strong | |
| ``` | |