1.2 KiB
1.2 KiB
base_model, library_name, tags
| base_model | library_name | tags | ||||
|---|---|---|---|---|---|---|
|
transformers |
|
model_sft_dare_resta
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Task Arithmetic merge method using Athkal/model-sft-dare as a base.
Models Merged
The following models were included in the merge:
- /kaggle/working/model_harmful_lora
- Qwen/Qwen2.5-1.5B-Instruct
Configuration
The following YAML configuration was used to produce this model:
base_model: Athkal/model-sft-dare
dtype: float16
merge_method: task_arithmetic
modules:
default:
slices:
- sources:
- layer_range: [0, 28]
model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
weight: 1.0
- layer_range: [0, 28]
model: /kaggle/working/model_harmful_lora
parameters:
weight: -1.0
- layer_range: [0, 28]
model: Athkal/model-sft-dare
tokenizer_source: base