--- base_model: - bunnycore/Llama-3.1-8B-TitanFusion-Mix - vicgalle/Roleplay-Hermes-3-Llama-3.1-8B - Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base - meta-llama/Llama-3.1-8B - bunnycore/Best-Mix-Llama-3.1-8B - vicgalle/Configurable-Llama-3.1-8B-Instruct - nvidia/OpenMath2-Llama3.1-8B 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 [meta-llama/Llama-3.1-8B](https://huggingface.co./meta-llama/Llama-3.1-8B) as a base. ### Models Merged The following models were included in the merge: * [bunnycore/Llama-3.1-8B-TitanFusion-Mix](https://huggingface.co./bunnycore/Llama-3.1-8B-TitanFusion-Mix) * [vicgalle/Roleplay-Hermes-3-Llama-3.1-8B](https://huggingface.co./vicgalle/Roleplay-Hermes-3-Llama-3.1-8B) * [Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base](https://huggingface.co./Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base) * [bunnycore/Best-Mix-Llama-3.1-8B](https://huggingface.co./bunnycore/Best-Mix-Llama-3.1-8B) * [vicgalle/Configurable-Llama-3.1-8B-Instruct](https://huggingface.co./vicgalle/Configurable-Llama-3.1-8B-Instruct) * [nvidia/OpenMath2-Llama3.1-8B](https://huggingface.co./nvidia/OpenMath2-Llama3.1-8B) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: vicgalle/Roleplay-Hermes-3-Llama-3.1-8B parameters: density: 0.7 weight: 0.7 - model: bunnycore/Best-Mix-Llama-3.1-8B parameters: density: 0.4 weight: 0.3 - model: vicgalle/Configurable-Llama-3.1-8B-Instruct parameters: density: 0.5 weight: 0.5 - model: nvidia/OpenMath2-Llama3.1-8B parameters: density: 0.5 weight: 0.3 - model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base parameters: density: 0.8 weight: 0.6 - model: bunnycore/Llama-3.1-8B-TitanFusion-Mix parameters: density: 0.5 weight: 0.4 merge_method: ties base_model: meta-llama/Llama-3.1-8B parameters: density: 1 normalize: false int8_mask: true dtype: float16 ```