File size: 1,402 Bytes
79f0d12 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
---
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
```
|