---
base_model:
- Sao10K/Fimbulvetr-11B-v2
library_name: transformers
tags:
- mergekit
- merge

---
# merge

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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Sao10K/Fimbulvetr-11B-v2
        layer_range: [0, 16]
        parameters:
          attention:
            - filter: grouped_qk_proj
              clusters: 8
              value: 1.2
              attention_type: hierarchical
              local_attention: 0.5
              global_attention: 1.5
              dynamic_weighting: true
          rope_scaling: 10000
          significance: 0.85
          mlp:
            filter: intermediate_proj
            value: 14336
            compression: true
            dynamic_capacity: true
          regularization:
            filter: attention_dropout
            value: 0.0
  - sources:
      - model: Sao10K/Fimbulvetr-11B-v2
        layer_range: [16, 32]
        parameters:
          attention:
            - filter: grouped_qk_proj
              clusters: 8
              value: 1.3
              attention_type: hierarchical
              local_attention: 0.6
              global_attention: 1.4
              dynamic_weighting: true
          rope_scaling: 10000
          significance: 0.80
          mlp:
            filter: intermediate_proj
            value: 14336
            compression: true
            dynamic_capacity: true
          regularization:
            filter: attention_dropout
            value: 0.0
  - sources:
      - model: Sao10K/Fimbulvetr-11B-v2
        layer_range: [32, 48]
        parameters:
          attention:
            - filter: grouped_qk_proj
              clusters: 8
              value: 1.5
              attention_type: hierarchical
              local_attention: 0.7
              global_attention: 1.6
              dynamic_weighting: true
          rope_scaling: 10000
          significance: 0.9
          mlp:
            filter: intermediate_proj
            value: 14336
            compression: true
            dynamic_capacity: true
          regularization:
            filter: attention_dropout
            value: 0.0
merge_method: passthrough
dtype: bfloat16
```