--- base_model: - inflatebot/G2-9B-Blackout-R1 - anthracite-org/magnum-v3-9b-customgemma2 - nbeerbower/Gemma2-Gutenberg-Doppel-9B - lemon07r/Gemma-2-Ataraxy-9B - SillyTilly/google-gemma-2-9b-it - sam-paech/Delirium-v1 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 [SillyTilly/google-gemma-2-9b-it](https://huggingface.co/SillyTilly/google-gemma-2-9b-it) as a base. ### Models Merged The following models were included in the merge: * [inflatebot/G2-9B-Blackout-R1](https://huggingface.co/inflatebot/G2-9B-Blackout-R1) * [anthracite-org/magnum-v3-9b-customgemma2](https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2) * [nbeerbower/Gemma2-Gutenberg-Doppel-9B](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B) * [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B) * [sam-paech/Delirium-v1](https://huggingface.co/sam-paech/Delirium-v1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: sam-paech/Delirium-v1 # Modello principale parameters: weight: 0.5 # Peso maggiore per il dataset Gutenberg density: 0.6 # Mantiene il 60% dei suoi parametri unici - model: nbeerbower/Gemma2-Gutenberg-Doppel-9B parameters: weight: 0.2 density: 0.4 - model: lemon07r/Gemma-2-Ataraxy-9B parameters: weight: 0.15 density: 0.3 - model: inflatebot/G2-9B-Blackout-R1 parameters: weight: 0.1 density: 0.3 - model: anthracite-org/magnum-v3-9b-customgemma2 parameters: weight: 0.05 density: 0.2 merge_method: ties base_model: SillyTilly/google-gemma-2-9b-it tokenizer_source: sam-paech/Delirium-v1 # Usa il tokenizer del modello principale dtype: float16 parameters: normalize: true alpha: 0.35 # Bilancia tra task vectors e base model ```