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---
base_model:
- Qwen/Qwen2.5-Coder-1.5B-Instruct
- Qwen/Qwen2.5-1.5B-Instruct
- Qwen/Qwen2.5-Math-1.5B-Instruct
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 [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct)
* [Qwen/Qwen2.5-Math-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: ties # Use TIES for merging multiple models
base_model: Qwen/Qwen2.5-1.5B-Instruct # Base model for the merge
dtype: bfloat16 # Data type for the merged model
models:
- model: Qwen/Qwen2.5-1.5B-Instruct # Base model
parameters:
weight: 0.5 # Weight for the base model
- model: Qwen/Qwen2.5-Math-1.5B-Instruct # Math-focused model
parameters:
density: 0.6 # Retain 60% of significant parameters
weight: 0.3 # Weight for the math model
- model: Qwen/Qwen2.5-Coder-1.5B-Instruct # Code-focused model
parameters:
density: 0.6 # Retain 60% of significant parameters
weight: 0.2 # Weight for the coder model
parameters:
normalize: true # Normalize weights to ensure compatibility
int8_mask: true # Optimize memory and computational efficiency
```
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