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base_model:
- sraj/CMB_MARK_CX
- sraj/CMB_WX_SYN_CX
- sraj/CMB_FWEdu_V2_FastTxt_CX
library_name: transformers
tags:
- mergekit
- merge
---
# merge_linear_normbalanced
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [sraj/CMB_MARK_CX](https://huggingface.co/sraj/CMB_MARK_CX)
* [sraj/CMB_WX_SYN_CX](https://huggingface.co/sraj/CMB_WX_SYN_CX)
* [sraj/CMB_FWEdu_V2_FastTxt_CX](https://huggingface.co/sraj/CMB_FWEdu_V2_FastTxt_CX)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# Norm-balanced: weights set inversely proportional to avg task vector L2 norm
# A ≈ 16, F ≈ 43, S ≈ 16 → weights ≈ 1/16, 1/43, 1/16 → normalized ≈ 2.7, 1.0, 2.7
models:
- model: sraj/CMB_MARK_CX
parameters:
weight: 2.7
- model: sraj/CMB_FWEdu_V2_FastTxt_CX
parameters:
weight: 1.0
- model: sraj/CMB_WX_SYN_CX
parameters:
weight: 2.7
merge_method: linear
parameters:
normalize: true
dtype: bfloat16
```
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