Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper • 2311.03099 • Published • 32
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using Qwen/Qwen2.5-Coder-7B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct
# Base model - no parameters needed
- model: arkitekt-ai/qwen-coder-7b-specialist-d1
parameters:
density: 0.5 # Keep 50% of parameters (drop 50%)
weight: 0.5
- model: arkitekt-ai/qwen-coder-7b-specialist-d2
parameters:
density: 0.5
weight: 0.5
merge_method: dare_ties
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
parameters:
int8_mask: true # More memory efficient
normalize: true
dtype: bfloat16