README.md

---
language:
- en
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
- ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
library_name: transformers
tags:
- meta
- llama-3
- pytorch
- mergekit
- merge
license: cc-by-nc-4.0
pipeline_tag: text-generation
---
# llama-3-merge-pp-instruct-8B

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

Lightly tested at temperature=1.0, minP=0.02 with provisional Llama 3 Instruct prompts.

Built with Meta Llama 3.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
* [ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
      layer_range: [0,32]
    - model: meta-llama/Meta-Llama-3-8B-Instruct
      layer_range: [0,32]
merge_method: slerp
base_model: ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
parameters:
  t:
    - value: 0.5
dtype: bfloat16

```