---
base_model:
- Qwen/Qwen2.5-7B-Instruct
- Qwen/Qwen2.5-7B
library_name: transformers
tags:
- mergekit
- merge

---
# Qwen2.5-7B-ko-quant-merge-v4

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

### Models Merged

The following models were included in the merge:
* Qwen2.5-7B-lora-v3
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
* Qwen2.5-7B-lora-v2
* Qwen2.5-7B-lora-v1
* Qwen2.5-7B-lora-v4

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen2.5-7B-lora-v1
    parameters:
      density: 1
      weight: 1
  - model: Qwen2.5-7B-lora-v2
    parameters:
      density: 1
      weight: 1
  - model: Qwen2.5-7B-lora-v3
    parameters:
      density: 1
      weight: 1
  - model: Qwen2.5-7B-lora-v4
    parameters:
      density: 1
      weight: 1
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      density: 1
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  int8_mask: true
  nomalize: true
  weight: 1
  density: 1
tokenizer_source: Qwen/Qwen2.5-7B-Instruct
dtype: bfloat16

```