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---
base_model:
- TareksLab/Anathema-V2-LLaMA-70B
- TareksLab/Scrivener-Base-V4-LLaMA-70B
- TareksLab/Erudite-V1-Unleashed-LLaMA-70B
- TareksLab/RolePlayer-V4-LLaMa-70B
- TareksLab/Wordsmith-V2.0-LLaMa-70B
library_name: transformers
tags:
- mergekit
- merge
---
# MERGE4
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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [TareksLab/Scrivener-Base-V4-LLaMA-70B](https://huggingface.co/TareksLab/Scrivener-Base-V4-LLaMA-70B) as a base.
### Models Merged
The following models were included in the merge:
* [TareksLab/Anathema-V2-LLaMA-70B](https://huggingface.co/TareksLab/Anathema-V2-LLaMA-70B)
* [TareksLab/Erudite-V1-Unleashed-LLaMA-70B](https://huggingface.co/TareksLab/Erudite-V1-Unleashed-LLaMA-70B)
* [TareksLab/RolePlayer-V4-LLaMa-70B](https://huggingface.co/TareksLab/RolePlayer-V4-LLaMa-70B)
* [TareksLab/Wordsmith-V2.0-LLaMa-70B](https://huggingface.co/TareksLab/Wordsmith-V2.0-LLaMa-70B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: TareksLab/Wordsmith-V2.0-LLaMa-70B
parameters:
weight: 0.20
density: 0.5
epsilon: 0.05
lambda: 1.0
- model: TareksLab/Anathema-V2-LLaMA-70B
parameters:
weight: 0.20
density: 0.5
epsilon: 0.05
lambda: 1.0
- model: TareksLab/Scrivener-Base-V4-LLaMA-70B
parameters:
weight: 0.20
density: 0.5
epsilon: 0.05
lambda: 1.0
- model: TareksLab/RolePlayer-V4-LLaMa-70B
parameters:
weight: 0.20
density: 0.5
epsilon: 0.05
lambda: 1.0
- model: TareksLab/Erudite-V1-Unleashed-LLaMA-70B
parameters:
weight: 0.20
density: 0.5
epsilon: 0.05
lambda: 1.0
merge_method: della
base_model: TareksLab/Scrivener-Base-V4-LLaMA-70B
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
chat_template: llama3
tokenizer:
source: TareksLab/Scrivener-Base-V4-LLaMA-70B
```
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