---
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
- nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
- nvidia/OpenMath-Nemotron-1.5B
- Fate-Zero/Archer2.0-Code-1.5B-Preview
library_name: transformers
tags:
- mergekit
- merge

---
# merge_test_2

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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) as a base.

### Models Merged

The following models were included in the merge:
* [nvidia/Nemotron-Research-Reasoning-Qwen-1.5B](https://huggingface.co/nvidia/Nemotron-Research-Reasoning-Qwen-1.5B)
* [nvidia/OpenMath-Nemotron-1.5B](https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B)
* [Fate-Zero/Archer2.0-Code-1.5B-Preview](https://huggingface.co/Fate-Zero/Archer2.0-Code-1.5B-Preview)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: della
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
dtype: bfloat16
models:
  - model: nvidia/OpenMath-Nemotron-1.5B
    parameters:
      weight: 1.0
      density: 0.6
      epsilon: 0.3
  - model: nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
    parameters:
      weight: 1.0
      density: 0.6
      epsilon: 0.3
  - model: Fate-Zero/Archer2.0-Code-1.5B-Preview
    parameters:
      weight: 1.0
      density: 0.6
      epsilon: 0.3

```