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---
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- Undi95/Meta-Llama-3-8B-hf
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
- O1-OPEN/OpenO1-LLama-8B-v0.1
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 [TIES](https://arxiv.org/abs/2306.01708) 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:
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2)
* [O1-OPEN/OpenO1-LLama-8B-v0.1](https://huggingface.co/O1-OPEN/OpenO1-LLama-8B-v0.1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# Mergekit Configuration for Model Merge
# Base model (primary reference model)
base_model: Undi95/Meta-Llama-3-8B-hf
# Merge method (using TIES for intelligent merging)
merge_method: ties
# Specific model configurations
models:
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
density: 0.4
weight: 0.25
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
parameters:
density: 0.5
weight: 0.35
- model: O1-OPEN/OpenO1-LLama-8B-v0.1
parameters:
density: 0.3
weight: 0.4
# Merge parameters
parameters:
normalize: true
int8_mask: true
dtype: 16 # Explicitly using 16-bit float representation
# Tokenizer source (use base model's tokenizer)
tokenizer_source: base
```
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