base_model, library_name, tags
| base_model | library_name | tags | |||||||
|---|---|---|---|---|---|---|---|---|---|
|
transformers |
|
group_final
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 Qwen/Qwen3-1.7B as a base.
Models Merged
The following models were included in the merge:
- cs-552-2026-databand/multilingual_model
- cs-552-2026-databand/safety_model
- cs-552-2026-databand/math_model
- cs-552-2026-databand/general_knowledge_model
Configuration
The following YAML configuration was used to produce this model:
base_model: Qwen/Qwen3-1.7B
dtype: bfloat16
merge_method: dare_ties
modules:
default:
slices:
- sources:
- layer_range: [0, 28]
model: cs-552-2026-databand/math_model
parameters:
density: 0.9
weight: 1.0
- layer_range: [0, 28]
model: cs-552-2026-databand/general_knowledge_model
parameters:
density: 0.9
weight: 1.0
- layer_range: [0, 28]
model: cs-552-2026-databand/safety_model
parameters:
density: 0.9
weight: 1.0
- layer_range: [0, 28]
model: cs-552-2026-databand/multilingual_model
parameters:
density: 0.9
weight: 1.0
- layer_range: [0, 28]
model: Qwen/Qwen3-1.7B
parameters:
int8_mask: 1.0
normalize: 1.0