--- base_model: - LeroyDyer/Mixtral_AI_Cyber_3.m1 - LeroyDyer/Mixtral_AI_Cyber_3.1_SFT - LeroyDyer/Mixtral_AI_Cyber_2.0 - LeroyDyer/Mixtral_AI_Cyber_1.0 - LeroyDyer/Mixtral_AI_Cyber_3.m2 - LeroyDyer/Mixtral_AI_Cyber_3.0 library_name: transformers tags: - biology - chemistry - medical license: mit language: - en metrics: - bertscore - code_eval - character --- ### Models Merged The following models were included in the merge: * [LeroyDyer/Mixtral_AI_Cyber_3.m1](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.m1) * [LeroyDyer/Mixtral_AI_Cyber_3.1_SFT](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.1_SFT) * [LeroyDyer/Mixtral_AI_Cyber_2.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_2.0) * [LeroyDyer/Mixtral_AI_Cyber_1.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_1.0) * [LeroyDyer/Mixtral_AI_Cyber_3.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0) A Merges of my best models !: A very great model as it contains the deltas from all of the very hard trained models : all these models were heavy coders! ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: LeroyDyer/Mixtral_AI_Cyber_3.m2 parameters: density: [0.256, 0.512, 0.128] # density gradient weight: 0.382 - model: LeroyDyer/Mixtral_AI_Cyber_2.0 parameters: density: 0.382 weight: [0.256, 0.128, 0.256, 0.128] # weight gradient - model: LeroyDyer/Mixtral_AI_Cyber_3.0 parameters: density: 0.382 weight: [0.128, 0.512, 0.128, 0.128] # weight gradient - model: LeroyDyer/Mixtral_AI_Cyber_3.m1 parameters: density: 0.382 weight: [0.256, 0.256, 0.512, 0.128] # weight gradient - model: LeroyDyer/Mixtral_AI_Cyber_1.0 parameters: density: 0.382 weight: [0.128, 0.512, 0.128, 0.128] # weight gradient - model: LeroyDyer/Mixtral_AI_Cyber_3.1_SFT parameters: density: 0.382 weight: - filter: mlp value: 0.5 - value: 0 merge_method: ties base_model: LeroyDyer/Mixtral_AI_Cyber_3.m2 parameters: normalize: true int8_mask: true dtype: float16 ```