---
base_model:
- Qwen/Qwen2.5-Coder-7B
- microsoft/NextCoder-7B
- TIGER-Lab/VisCoder2-7B
- DeepHat/DeepHat-V1-7B
- open-r1/OlympicCoder-7B
library_name: transformers
tags:
- mergekit
- merge

---
# merged_super_mario

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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B) as a base.

### Models Merged

The following models were included in the merge:
* [microsoft/NextCoder-7B](https://huggingface.co/microsoft/NextCoder-7B)
* [TIGER-Lab/VisCoder2-7B](https://huggingface.co/TIGER-Lab/VisCoder2-7B)
* [DeepHat/DeepHat-V1-7B](https://huggingface.co/DeepHat/DeepHat-V1-7B)
* [open-r1/OlympicCoder-7B](https://huggingface.co/open-r1/OlympicCoder-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: open-r1/OlympicCoder-7B
    parameters:
      density: 0.3
      weight: 0.35
  - model: microsoft/NextCoder-7B
    parameters:
      density: 0.25
      weight: 0.3
  - model: TIGER-Lab/VisCoder2-7B
    parameters:
      density: 0.25
      weight: 0.3
  - model: DeepHat/DeepHat-V1-7B
    parameters:
      density: 0.2
      weight: 0.2
merge_method: dare_ties
base_model: Qwen/Qwen2.5-Coder-7B
parameters:
  int8_mask: true
dtype: bfloat16
tokenizer_source: base

```