README.md

---

base_model:
- unsloth/Meta-Llama-3.1-8B
- bunnycore/HyperLlama-3.1-8B
- bunnycore/HyperLLama3.1-Mix-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/MegaHyperLlama3.1-GGUF
This is quantized version of [bunnycore/MegaHyperLlama3.1](https://huggingface.co/bunnycore/MegaHyperLlama3.1) 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 [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) as a base.

### Models Merged

The following models were included in the merge:
* [bunnycore/HyperLlama-3.1-8B](https://huggingface.co/bunnycore/HyperLlama-3.1-8B)
* [bunnycore/HyperLLama3.1-Mix-8B](https://huggingface.co/bunnycore/HyperLLama3.1-Mix-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: bunnycore/HyperLLama3.1-Mix-8B
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/HyperLlama-3.1-8B
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: unsloth/Meta-Llama-3.1-8B
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```