README.md

---
base_model: Locutusque/Llama-3-Yggdrasil-8B
inference: true
library_name: transformers
license: llama3
model_creator: Locutusque
model_name: Llama-3-Yggdrasil-8B
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- mergekit
- merge
- gguf
- ggml
- quantized
---

# Llama-3-Yggdrasil-8B-GGUF

Quantized GGUF model files for [Llama-3-Yggdrasil-8B](https://huggingface.co/Locutusque/Llama-3-Yggdrasil-8B) from [Locutusque](https://huggingface.co/Locutusque)

## 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

```