--- base_model: - knifeayumu/Negative-Anubis-70B-v1 - TareksLab/Transgression-V2-LLaMa-70B - Mawdistical/Wanton-Wolf-70B - TheDrummer/Fallen-Llama-3.3-R1-70B-v1 - allura-org/Bigger-Body-70b - nbeerbower/Llama-3.1-Nemotron-lorablated-70B library_name: transformers tags: - mergekit - merge --- # MERGE2 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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [nbeerbower/Llama-3.1-Nemotron-lorablated-70B](https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B) as a base. ### Models Merged The following models were included in the merge: * [knifeayumu/Negative-Anubis-70B-v1](https://huggingface.co/knifeayumu/Negative-Anubis-70B-v1) * [TareksLab/Transgression-V2-LLaMa-70B](https://huggingface.co/TareksLab/Transgression-V2-LLaMa-70B) * [Mawdistical/Wanton-Wolf-70B](https://huggingface.co/Mawdistical/Wanton-Wolf-70B) * [TheDrummer/Fallen-Llama-3.3-R1-70B-v1](https://huggingface.co/TheDrummer/Fallen-Llama-3.3-R1-70B-v1) * [allura-org/Bigger-Body-70b](https://huggingface.co/allura-org/Bigger-Body-70b) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1 parameters: weight: 0.20 density: 0.7 - model: TareksLab/Transgression-V2-LLaMa-70B parameters: weight: 0.20 density: 0.7 - model: Mawdistical/Wanton-Wolf-70B parameters: weight: 0.20 density: 0.7 - model: allura-org/Bigger-Body-70b parameters: weight: 0.20 density: 0.7 - model: knifeayumu/Negative-Anubis-70B-v1 parameters: weight: 0.20 density: 0.7 merge_method: della_linear base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B parameters: epsilon: 0.2 lambda: 1.1 normalize: false dtype: float32 out_dtype: bfloat16 chat_template: llama3 tokenizer: source: Mawdistical/Wanton-Wolf-70B pad_to_multiple_of: 8 ```