Resolving Interference When Merging Models
Paper • 2306.01708 • Published • 18
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using meta-llama/meta-llama-3.1-8b as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: paraschopra/llama-31-8b-base-120k_minp_plus_train_500_ADAPTOR_MERGED
parameters:
weight: 1
density: 1
- model: meta-llama/meta-llama-3.1-8b-instruct
parameters:
weight: 1
density: 1
merge_method: ties
base_model: meta-llama/meta-llama-3.1-8b
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
tokenizer_source: paraschopra/llama-31-8b-base-120k_minp_plus_train_500_ADAPTOR_MERGED
dtype: bfloat16