FuseChat: Knowledge Fusion of Chat Models
Paper • 2408.07990 • Published • 15
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SCE merge method using TareksLab/Stylizer-V1-LLaMa-70B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: TareksLab/Malediction-V1-LLaMa-70B
parameters:
weight: 0.25
density: 0.5
select_topk: 0.5
lambda: 1.0
- model: TareksLab/Wordsmith-V9-LLaMa-70B
parameters:
weight: 0.25
density: 0.5
select_topk: 0.5
lambda: 1.0
- model: TareksLab/Stylizer-V1-LLaMa-70B
parameters:
weight: 0.25
density: 0.5
select_topk: 0.5
lambda: 1.0
- model: TareksLab/Dungeons-and-Dragons-V1.2-LLaMa-70B
parameters:
weight: 0.25
density: 0.5
select_topk: 0.5
lambda: 1.0
base_model: TareksLab/Stylizer-V1-LLaMa-70B
merge_method: sce
parameters:
normalize: false
tokenizer:
source: base
chat_template:
dtype: bfloat16