Model Stock: All we need is just a few fine-tuned models
Paper
•
2403.19522
•
Published
•
13
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock merge method using sthenno-com/miscii-14b-1225 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: model_stock
models:
- model: sthenno/tempesthenno-ppo-ckpt40
parameters:
weight: 1.0
- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
parameters:
weight: 1.0
- model: sthenno/tempesthenno-ppo-ckpt40
parameters:
weight: 1.0
- model: arcee-ai/Virtuoso-Small
parameters:
weight: 1.0
- model: Qwen/Qwen2.5-Coder-14B
parameters:
weight: 1.0
base_model: sthenno-com/miscii-14b-1225
tokenizer_source: base
dtype: bfloat16
normalize: true