---
base_model:
- sraj/CMB_MARK_CX_LRD
- sraj/CMB_FWEdu_V2_FastTxt_CX_LRD
- sraj/CMB_WX_SYN_CX_LRD
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_LRD](https://huggingface.co/sraj/CMB_MARK_CX_LRD)
* [sraj/CMB_FWEdu_V2_FastTxt_CX_LRD](https://huggingface.co/sraj/CMB_FWEdu_V2_FastTxt_CX_LRD)
* [sraj/CMB_WX_SYN_CX_LRD](https://huggingface.co/sraj/CMB_WX_SYN_CX_LRD)

### 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_LRD
    parameters:
      weight: 2.7
  - model: sraj/CMB_FWEdu_V2_FastTxt_CX_LRD
    parameters:
      weight: 1.0
  - model: sraj/CMB_WX_SYN_CX_LRD
    parameters:
      weight: 2.7
merge_method: linear
parameters:
  normalize: true
dtype: bfloat16

```