metadata
base_model:
- Qwen/Qwen2.5-1.5B
- Ornaments/jalwa-1.5B
library_name: transformers
tags:
- mergekit
- merge
model2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using Ornaments/jalwa-1.5B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: Ornaments/jalwa-1.5B
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 0.0
slices:
- sources:
- layer_range: [0, 4]
model: Ornaments/jalwa-1.5B
parameters:
density: 1.0
weight: 0.1
- layer_range: [0, 4]
model: Qwen/Qwen2.5-1.5B
parameters:
density: 1.0
weight: 0.9
- sources:
- layer_range: [4, 8]
model: Ornaments/jalwa-1.5B
parameters:
density: 1.0
weight: 0.1
- layer_range: [4, 8]
model: Qwen/Qwen2.5-1.5B
parameters:
density: 1.0
weight: 0.9
- sources:
- layer_range: [8, 12]
model: Ornaments/jalwa-1.5B
parameters:
density: 1.0
weight: 0.1
- layer_range: [8, 12]
model: Qwen/Qwen2.5-1.5B
parameters:
density: 1.0
weight: 0.9
- sources:
- layer_range: [12, 16]
model: Ornaments/jalwa-1.5B
parameters:
density: 1.0
weight: 0.1
- layer_range: [12, 16]
model: Qwen/Qwen2.5-1.5B
parameters:
density: 1.0
weight: 0.9
- sources:
- layer_range: [16, 20]
model: Ornaments/jalwa-1.5B
parameters:
density: 1.0
weight: 0.1
- layer_range: [16, 20]
model: Qwen/Qwen2.5-1.5B
parameters:
density: 1.0
weight: 0.9
- sources:
- layer_range: [20, 24]
model: Ornaments/jalwa-1.5B
parameters:
density: 1.0
weight: 0.1
- layer_range: [20, 24]
model: Qwen/Qwen2.5-1.5B
parameters:
density: 1.0
weight: 0.9
- sources:
- layer_range: [24, 28]
model: Ornaments/jalwa-1.5B
parameters:
density: 1.0
weight: 0.1
- layer_range: [24, 28]
model: Qwen/Qwen2.5-1.5B
parameters:
density: 1.0
weight: 0.9