PsykidelicLlama3 / README.md
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---
base_model:
- nbeerbower/llama-3-dragonmaid-8B
- cognitivecomputations/dolphin-2.9-llama3-8b
- mlabonne/ChimeraLlama-3-8B
- WesPro/F2PhenotypeDPO
library_name: transformers
tags:
- mergekit
- merge
---
# 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 [mlabonne/ChimeraLlama-3-8B](https://huggingface.co/mlabonne/ChimeraLlama-3-8B) as a base.
### Models Merged
The following models were included in the merge:
* [nbeerbower/llama-3-dragonmaid-8B](https://huggingface.co/nbeerbower/llama-3-dragonmaid-8B)
* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
* [WesPro/F2PhenotypeDPO](https://huggingface.co/WesPro/F2PhenotypeDPO)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mlabonne/ChimeraLlama-3-8B
# No parameters necessary for base model
- model: mlabonne/ChimeraLlama-3-8B
parameters:
density: 0.6
weight: 0.2
- model: nbeerbower/llama-3-dragonmaid-8B
parameters:
density: 0.55
weight: 0.4
- model: cognitivecomputations/dolphin-2.9-llama3-8b
parameters:
density: 0.55
weight: 0.2
- model: WesPro/F2PhenotypeDPO
parameters:
density: 0.55
weight: 0.2
merge_method: dare_ties
base_model: mlabonne/ChimeraLlama-3-8B
parameters:
int8_mask: true
dtype: float16
```