README.md

---

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


---

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# QuantFactory/Qwen2.5-7B-Instruct-MathCoder-GGUF
This is quantized version of [DeepMount00/Qwen2.5-7B-Instruct-MathCoder](https://huggingface.co/DeepMount00/Qwen2.5-7B-Instruct-MathCoder) created using llama.cpp

# Original Model Card

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

### Models Merged

The following models were included in the merge:
* [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
* [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    #no parameters necessary for base model
  - model: Qwen/Qwen2.5-Math-7B-Instruct
    parameters:
      density: 0.5
      weight: 0.5
  - model: Qwen/Qwen2.5-Coder-7B-Instruct
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Qwen/Qwen2.5-7B-Instruct
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```