README.md

---

base_model:
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B-Instruct
- Locutusque/Llama-3-Hercules-5.0-8B
- Locutusque/llama-3-neural-chat-v2.2-8b
library_name: transformers
tags:
- mergekit
- merge
license: llama3

---

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# QuantFactory/Llama-3-Yggdrasil-8B-GGUF
This is quantized version of [Locutusque/Llama-3-Yggdrasil-8B](https://huggingface.co/Locutusque/Llama-3-Yggdrasil-8B) 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.

### Models Merged

The following models were included in the merge:
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
* [Locutusque/Llama-3-Hercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-Hercules-5.0-8B)
* [Locutusque/llama-3-neural-chat-v2.2-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v2.2-8b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: NousResearch/Meta-Llama-3-8B
    # No parameters necessary for base model
  - model: NousResearch/Meta-Llama-3-8B-Instruct
    parameters:
      density: 0.6
      weight: 0.55
  - model: Locutusque/llama-3-neural-chat-v2.2-8b
    parameters:
      density: 0.55
      weight: 0.45
  - model: Locutusque/Llama-3-Hercules-5.0-8B
    parameters:
      density: 0.57
      weight: 0.5
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
  int8_mask: true
dtype: bfloat16

```