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---
base_model:
- O1-OPEN/OpenO1-LLama-8B-v0.1
- huihui-ai/Llama-3.1-Tulu-3-8B-abliterated
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
- Undi95/Meta-Llama-3-8B-hf
- Sao10K/L3-8B-Stheno-v3.2
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 linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-hf) as a base.
### Models Merged
The following models were included in the merge:
* [O1-OPEN/OpenO1-LLama-8B-v0.1](https://huggingface.co/O1-OPEN/OpenO1-LLama-8B-v0.1)
* [huihui-ai/Llama-3.1-Tulu-3-8B-abliterated](https://huggingface.co/huihui-ai/Llama-3.1-Tulu-3-8B-abliterated)
* [ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2)
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: dare_linear # Define the merging method (e.g., linear, dare_linear)
base_model: Undi95/Meta-Llama-3-8B-hf # The base model for the merge
models:
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
attention_heads: 0.6
weight: 1.0 # Added missing weight parameter
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
parameters:
feedforward: 0.4
weight: 1.0 # Add weight for consistency
- model: O1-OPEN/OpenO1-LLama-8B-v0.1
parameters:
all: 0.3
weight: 1.0 # Add weight for consistency
- model: huihui-ai/Llama-3.1-Tulu-3-8B-abliterated
parameters:
layer_norm: 0.2
weight: 1.0 # Add weight for consistency
parameters:
general: 0.6 # Default parameter for fallback
dtype: float16 # Data type for merging
tokenizer_source: union # Tokenizer combining method
output_path: ./merged_model # Output location for the merged model
```
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