--- base_model: - NousResearch/Hermes-3-Llama-3.1-8B - lcw99/llama-3-8b-it-ko-chang - maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 - maywell/Llama-3-Ko-8B-Instruct - meta-llama/Meta-Llama-3.1-8B - tesser-ai/Tesser-Llama-3-Ko-8B - beomi/Llama-3-Open-Ko-8B-Instruct-preview - openchat/openchat-3.6-8b-20240522 - MLP-KTLim/llama-3-Korean-Bllossom-8B 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) as a base. ### Models Merged The following models were included in the merge: * [lcw99/llama-3-8b-it-ko-chang](https://huggingface.co/lcw99/llama-3-8b-it-ko-chang) * [maum-ai/Llama-3-MAAL-8B-Instruct-v0.1](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1) * [maywell/Llama-3-Ko-8B-Instruct](https://huggingface.co/maywell/Llama-3-Ko-8B-Instruct) * [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) * [tesser-ai/Tesser-Llama-3-Ko-8B](https://huggingface.co/tesser-ai/Tesser-Llama-3-Ko-8B) * [beomi/Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview) * [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522) * [MLP-KTLim/llama-3-Korean-Bllossom-8B](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: openchat/openchat-3.6-8b-20240522 layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: MLP-KTLim/llama-3-Korean-Bllossom-8B layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: lcw99/llama-3-8b-it-ko-chang layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: beomi/Llama-3-Open-Ko-8B-Instruct-preview layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: maywell/Llama-3-Ko-8B-Instruct layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: tesser-ai/Tesser-Llama-3-Ko-8B layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: meta-llama/Meta-Llama-3.1-8B layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended - model: NousResearch/Hermes-3-Llama-3.1-8B layer_range: [0, 32] parameters: filter_wise: false # calculate with per-tensor. Not recommended merge_method: model_stock base_model: NousResearch/Hermes-3-Llama-3.1-8B dtype: bfloat16 ```