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 sometimesanotion/Lamarck-14B-v0.7 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: arcee-ai/SuperNova-Medius
parameters:
select_topk: 0.00625
- model: arcee-ai/Virtuoso-Small
parameters:
select_topk: 0.00625
- model: sometimesanotion/Qwen2.5-14B-Vimarckoso-v3
parameters:
select_topk: 0.00625
- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
parameters:
select_topk: 0.00625
- model: sometimesanotion/Qwenvergence-14B-v10
parameters:
select_topk: 0.275
merge_method: sce
base_model: sometimesanotion/Lamarck-14B-v0.7
tokenizer_source: base
dtype: float32
out_dtype: bfloat16