--- base_model: - Sao10K/L3.1-70B-Hanami-x1 - SicariusSicariiStuff/Negative_LLAMA_70B - TheDrummer/Anubis-70B-v1 - EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 - nbeerbower/Llama-3.1-Nemotron-lorablated-70B - Sao10K/70B-L3.3-Cirrus-x1 library_name: transformers tags: - mergekit - merge license: llama3.3 --- This model is part of a series of experiments in merging some of my favorite Llama models, an idea which was based on the excellent Steelskull/L3.3-MS-Nevoria-70b merge, just with a couple of extra ingredients and different merge methods. This merge I went more conservative with parameters and got a solid result. However I believe my Progenitor-V1.1-LLaMa-70B model, which is a bit more aggressive in it's parameters, made a better 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 della_linear 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: * [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1) * [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B) * [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1) * [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1) * [Sao10K/70B-L3.3-Cirrus-x1](https://huggingface.co/Sao10K/70B-L3.3-Cirrus-x1) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Sao10K/L3.1-70B-Hanami-x1 parameters: weight: 0.20 density: 0.5 - model: Sao10K/70B-L3.3-Cirrus-x1 parameters: weight: 0.20 density: 0.5 - model: SicariusSicariiStuff/Negative_LLAMA_70B parameters: weight: 0.20 density: 0.5 - model: TheDrummer/Anubis-70B-v1 parameters: weight: 0.20 density: 0.5 - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 parameters: weight: 0.20 density: 0.5 merge_method: della_linear base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B parameters: epsilon: 0.05 lambda: 1 dtype: bfloat16 tokenizer_source: base ```