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---
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
``` |