Qwen2.5 Mergekit
Collection
12 items • Updated
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Breadcrumbs merge method using Qwen/Qwen2.5-7B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: Qwen/Qwen2.5-7B-Instruct
dtype: float16
merge_method: breadcrumbs
modules:
default:
slices:
- sources:
- layer_range: [0, 28]
model: Qwen/Qwen2.5-7B-Instruct
parameters:
weight: 0.8
- layer_range: [0, 28]
model: Alelcv27/Qwen2.5-7B-Code-v2
parameters:
weight: 0.8
parameters:
density: 0.9
gamma: 0.01
normalize: 1.0