File size: 1,262 Bytes
5dc3945 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
---
base_model:
- Undi95/MXLewd-L2-20B
- Undi95/PsyMedRP-v1-20B
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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Undi95/MXLewd-L2-20B](https://huggingface.co/Undi95/MXLewd-L2-20B)
* [Undi95/PsyMedRP-v1-20B](https://huggingface.co/Undi95/PsyMedRP-v1-20B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Undi95/PsyMedRP-v1-20B
layer_range: [0, 62] # PsyMedRP has 62 layers
- model: Undi95/MXLewd-L2-20B
layer_range: [0, 62] # MXLewd has 62 layers
merge_method: slerp # Or use another method like weight_average if needed
base_model: Undi95/MXLewd-L2-20B # Can use either as the base model
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1] # Tune these for desired effect
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # Default averaging weight
dtype: bfloat16 # Use preferred dtype, like fp16 or float32 if needed
```
|