README.md

---

base_model:
- Nitral-AI/Hathor_Fractionate-L3-8B-v.05
- turboderp/llama3-turbcat-instruct-8b
library_name: transformers
tags:
- mergekit
- merge


---

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

# QuantFactory/mergekit-slerp-vlrddld-GGUF
This is quantized version of [mergekit-community/mergekit-slerp-vlrddld](https://huggingface.co/mergekit-community/mergekit-slerp-vlrddld) 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:
* [Nitral-AI/Hathor_Fractionate-L3-8B-v.05](https://huggingface.co/Nitral-AI/Hathor_Fractionate-L3-8B-v.05)
* [turboderp/llama3-turbcat-instruct-8b](https://huggingface.co/turboderp/llama3-turbcat-instruct-8b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
        layer_range: [0, 32]
      - model: turboderp/llama3-turbcat-instruct-8b
        layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
```