---
base_model:
- netcat420/MFANN3bv0.7
- netcat420/MFANN3bv0.16
- netcat420/MFANN3bv0.18.11
- netcat420/MFANN3bv0.10
- netcat420/MFANN3bv0.6
- netcat420/MFANN3bv0.16.11
- netcat420/MFANN3bv0.11
- netcat420/MFANN3bv0.19
- netcat420/MFANN3bv0.17.11
- netcat420/MFANN3bv0.18
- netcat420/MFANN3bv0.14
- netcat420/MFANN3bv0.12
- netcat420/MFANN3bv0.17
- netcat420/MFANN3bv0.8
- netcat420/MFANN3bv0.13
- netcat420/MFANN3bv0.15
- netcat420/MFANN3bv0.20
- liminerity/Phigments12
- netcat420/MFANN3bv0.9
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [liminerity/Phigments12](https://huggingface.co/liminerity/Phigments12) as a base.

### Models Merged

The following models were included in the merge:
* [netcat420/MFANN3bv0.7](https://huggingface.co/netcat420/MFANN3bv0.7)
* [netcat420/MFANN3bv0.16](https://huggingface.co/netcat420/MFANN3bv0.16)
* [netcat420/MFANN3bv0.18.11](https://huggingface.co/netcat420/MFANN3bv0.18.11)
* [netcat420/MFANN3bv0.10](https://huggingface.co/netcat420/MFANN3bv0.10)
* [netcat420/MFANN3bv0.6](https://huggingface.co/netcat420/MFANN3bv0.6)
* [netcat420/MFANN3bv0.16.11](https://huggingface.co/netcat420/MFANN3bv0.16.11)
* [netcat420/MFANN3bv0.11](https://huggingface.co/netcat420/MFANN3bv0.11)
* [netcat420/MFANN3bv0.19](https://huggingface.co/netcat420/MFANN3bv0.19)
* [netcat420/MFANN3bv0.17.11](https://huggingface.co/netcat420/MFANN3bv0.17.11)
* [netcat420/MFANN3bv0.18](https://huggingface.co/netcat420/MFANN3bv0.18)
* [netcat420/MFANN3bv0.14](https://huggingface.co/netcat420/MFANN3bv0.14)
* [netcat420/MFANN3bv0.12](https://huggingface.co/netcat420/MFANN3bv0.12)
* [netcat420/MFANN3bv0.17](https://huggingface.co/netcat420/MFANN3bv0.17)
* [netcat420/MFANN3bv0.8](https://huggingface.co/netcat420/MFANN3bv0.8)
* [netcat420/MFANN3bv0.13](https://huggingface.co/netcat420/MFANN3bv0.13)
* [netcat420/MFANN3bv0.15](https://huggingface.co/netcat420/MFANN3bv0.15)
* [netcat420/MFANN3bv0.20](https://huggingface.co/netcat420/MFANN3bv0.20)
* [netcat420/MFANN3bv0.9](https://huggingface.co/netcat420/MFANN3bv0.9)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: liminerity/Phigments12
    # No parameters necessary for base model
  - model: netcat420/MFANN3bv0.20
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.19
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.6
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.18.11
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.18
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.17.11
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.17
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.16.11
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.16
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.15
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.14
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.13
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.12
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.11
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.10
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.9
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.8
    parameters:
      density: 0.53
      weight: 1
  - model: netcat420/MFANN3bv0.7
    parameters:
      density: 0.53
      weight: 1
merge_method: dare_ties
base_model: liminerity/Phigments12
parameters:
  int8_mask: true
dtype: bfloat16
```