--- base_model: - macadeliccc/WestLake-7B-v2-laser-truthy-dpo - yam-peleg/Experiment26-7B - mistralai/Mistral-7B-Instruct-v0.2 - mayflowergmbh/Wiedervereinigung-7b-dpo library_name: transformers tags: - mergekit - merge license: apache-2.0 language: - de --- # obazda2 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). # Benchmark This model has not been dpo-aligned yet. ```json { "first_turn": 6.79375, "second_turn": 6.275, "categories": { "writing": 7.5, "roleplay": 7.65, "reasoning": 5.45, "math": 2.55, "coding": 4.8, "extraction": 7.2, "stem": 8.275, "humanities": 8.85 }, "average": 6.534375000000001 } ``` ## 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 [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) as a base. ### Models Merged The following models were included in the merge: * [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo) * [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B) * [mayflowergmbh/Wiedervereinigung-7b-dpo](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: mistralai/Mistral-7B-Instruct-v0.2 # no parameters necessary for base model - model: yam-peleg/Experiment26-7B parameters: density: 0.60 weight: 0.30 - model: mayflowergmbh/Wiedervereinigung-7b-dpo parameters: density: 0.65 weight: 0.40 - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo parameters: density: 0.6 weight: 0.3 merge_method: dare_ties base_model: mistralai/Mistral-7B-Instruct-v0.2 parameters: int8_mask: true tokenizer_source: union dtype: bfloat16 random_seed: 42 ```