---
base_model:
- Qwen/Qwen2.5-7B-Instruct
- nguyentd/FinancialAdvice-Qwen2.5-7B
- shibing624/chinese-text-correction-7b
- nvidia/OpenCodeReasoning-Nemotron-7B
library_name: transformers
tags:
- mergekit
- merge

---
# output_qwen

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/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [nguyentd/FinancialAdvice-Qwen2.5-7B](https://huggingface.co/nguyentd/FinancialAdvice-Qwen2.5-7B)
* [shibing624/chinese-text-correction-7b](https://huggingface.co/shibing624/chinese-text-correction-7b)
* [nvidia/OpenCodeReasoning-Nemotron-7B](https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nvidia/OpenCodeReasoning-Nemotron-7B
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: shibing624/chinese-text-correction-7b
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: nguyentd/FinancialAdvice-Qwen2.5-7B
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: Qwen/Qwen2.5-7B-Instruct
parameters:
  normalize: true
dtype: bfloat16

```