Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper
•
2311.03099
•
Published
•
30
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Linear DARE merge method using meta-llama/Meta-Llama-3-8B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: meta-llama/Meta-Llama-3-8B
dtype: float16
merge_method: dare_linear
modules:
default:
slices:
- sources:
- layer_range: [0, 32]
model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0
parameters:
density: 0.5
weight: 0.5
- layer_range: [0, 32]
model: Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1
parameters:
density: 0.5
weight: 0.5
- layer_range: [0, 32]
model: meta-llama/Meta-Llama-3-8B
parameters:
int8_mask: 1.0
normalize: 0.0