README.md

---

base_model:
- quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft
- unsloth/Qwen2.5-Math-7B-Instruct
library_name: transformers
tags:
- mergekit
- merge


---

[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)


# QuantFactory/mergekit-slerp-zgbgjeh-GGUF
This is quantized version of [mergekit-community/mergekit-slerp-zgbgjeh](https://huggingface.co/mergekit-community/mergekit-slerp-zgbgjeh) 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft](https://huggingface.co/quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft)
* [unsloth/Qwen2.5-Math-7B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Math-7B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft
  - model: unsloth/Qwen2.5-Math-7B-Instruct
merge_method: slerp
base_model: quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers

```