DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
•
2406.11617
•
Published
•
8
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DELLA merge method using marcuscedricridia/Springer-32B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: della
base_model: marcuscedricridia/Springer-32B
models:
- model: trashpanda-org/QwQ-32B-Snowdrop-v0
parameters:
density: 1
weight: 1
lambda: 0.9
parameters:
density: 1
weight: 1
lambda: 0.9
normalize: true
int8_mask: true
dtype: bfloat16
tokenizer_source: base
name: Springer-32B-RP-1