--- base_model: - cognitivecomputations/dolphin-2.9-llama3-8b - Weyaxi/Einstein-v6.1-Llama3-8B - Locutusque/llama-3-neural-chat-v1-8b library_name: transformers tags: - mergekit - merge --- # model 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 [Locutusque/llama-3-neural-chat-v1-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v1-8b) as a base. ### Models Merged The following models were included in the merge: * [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) * [Weyaxi/Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) ### Configuration The following YAML configuration was used to produce this model: ```yaml base_model: Locutusque/llama-3-neural-chat-v1-8b dtype: bfloat16 merge_method: dare_ties parameters: int8_mask: 1.0 normalize: 0.0 slices: - sources: - layer_range: [0, 4] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 1.0 weight: 0.6 - layer_range: [0, 4] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 0.6 weight: 0.5 - layer_range: [0, 4] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 1.0 weight: 0.5 - sources: - layer_range: [4, 8] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 0.8 weight: 0.1 - layer_range: [4, 8] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 1.0 weight: 0.2 - layer_range: [4, 8] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 1.0 weight: 0.7 - sources: - layer_range: [8, 12] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 0.7 weight: 0.1 - layer_range: [8, 12] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 0.7 weight: 0.2 - layer_range: [8, 12] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 0.7 weight: 0.6 - sources: - layer_range: [12, 16] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 0.9 weight: 0.2 - layer_range: [12, 16] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 0.6 weight: 0.6 - layer_range: [12, 16] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 0.7 weight: 0.3 - sources: - layer_range: [16, 20] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 1.0 weight: 0.2 - layer_range: [16, 20] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 1.0 weight: 0.2 - layer_range: [16, 20] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 0.9 weight: 0.4 - sources: - layer_range: [20, 24] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 0.7 weight: 0.2 - layer_range: [20, 24] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 0.9 weight: 0.3 - layer_range: [20, 24] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 1.0 weight: 0.4 - sources: - layer_range: [24, 28] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 1.0 weight: 0.4 - layer_range: [24, 28] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 0.8 weight: 0.2 - layer_range: [24, 28] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 0.9 weight: 0.4 - sources: - layer_range: [28, 32] model: cognitivecomputations/dolphin-2.9-llama3-8b parameters: density: 1.0 weight: 0.3 - layer_range: [28, 32] model: Weyaxi/Einstein-v6.1-Llama3-8B parameters: density: 0.9 weight: 0.2 - layer_range: [28, 32] model: Locutusque/llama-3-neural-chat-v1-8b parameters: density: 1.0 weight: 0.3 ```