---
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
```