--- base_model: - meta-llama/meta-llama-3.1-8b-instruct - paraschopra/llama-31-8b-instruct-120k-correct-plus-real-low-lr 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 SLERP merge method. ### Models Merged The following models were included in the merge: * [meta-llama/meta-llama-3.1-8b-instruct](https://huggingface.co./meta-llama/meta-llama-3.1-8b-instruct) * [paraschopra/llama-31-8b-instruct-120k-correct-plus-real-low-lr](https://huggingface.co./paraschopra/llama-31-8b-instruct-120k-correct-plus-real-low-lr) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: paraschopra/llama-31-8b-instruct-120k-correct-plus-real-low-lr layer_range: [0, 32] - model: meta-llama/meta-llama-3.1-8b-instruct layer_range: [0, 32] merge_method: slerp base_model: meta-llama/meta-llama-3.1-8b-instruct parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 tokenizer_source: meta-llama/meta-llama-3.1-8b-instruct ```