--- base_model: - Sao10K/L3-8B-Stheno-v3.2 - Sao10K/L3-8B-Niitama-v1 - princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2 tags: - mergekit - merge - roleplay - sillytavern - llama3 - not-for-all-audiences license: cc-by-nc-4.0 language: - en --- 3.0 Farewell model. Next i'm going to wait Sao10K to break the bank again with a new 3.1 RP base. ## SillyTavern ## Text Completion presets ``` temp 0.9 top_k 30 top_p 0.75 min_p 0.2 rep_pen 1.1 smooth_factor 0.25 smooth_curve 1 ``` ## Advanced Formatting [Context & Instruct preset by Virt-io](https://huggingface.co/Virt-io/SillyTavern-Presets/tree/main/Prompts/LLAMA-3/v1.9) Instruct Mode: Enabled # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). This model was merged using the slerp merge method. ### Models Merged The following models were included in the merge: * [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) * [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1) * [princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - model: Sao10K/L3-8B-Niitama-v1 layer_range: [0, 32] - model: Sao10K/L3-8B-Stheno-v3.2 layer_range: [0, 32] merge_method: slerp base_model: Sao10K/L3-8B-Niitama-v1 parameters: t: - filter: self_attn value: [0.2, 0.4, 0.6, 0.2, 0.4] - filter: mlp value: [0.8, 0.6, 0.4, 0.8, 0.6] - value: 0.4 dtype: bfloat16 slices: - sources: - model: tannedbum/L3-Niitama-Stheno-8B layer_range: [0, 32] - model: princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2 layer_range: [0, 32] merge_method: slerp base_model: tannedbum/L3-Niitama-Stheno-8B parameters: t: - filter: self_attn value: [0.2, 0.4, 0.6, 0.2, 0.4] - filter: mlp value: [0.8, 0.6, 0.4, 0.8, 0.6] - value: 0.4 dtype: bfloat16 ``` Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum