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---
base_model:
- RozGrov/NemoDori-v0.2-12B-MN-BT
library_name: transformers
tags:
- mergekit
- merge
---
# NemoDori-v0.2-Upscaled.1-14B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
An upscaled version of [**NemoDori-v0.2-12B-MN-BT**](https://huggingface.co/RozGrov/NemoDori-v0.2-12B-MN-BT), now at **14B**.
<br>
This should improves and makes it more clever somehow, if not, it's just my feeling.
<br>
NemoDori v0.2 is my best merge model so far, so I want to try if upscaling (or merge using itself) does have any effect on it.
As expected, this model can use [v0.1](https://huggingface.co/RozGrov/NemoDori-v0.1-12B-MS) preset and go creative up to temp 2 at least.
I didn't have enough time to test it, because I made an even MORE upscaled version of v0.2, which will be made public once my work ends.
I am glad that this works out. I haven't been able to use `passthrough` method work, mostly the result responds with gibberish and my stupid brain thinking that
doing something random will magically create what I want. It took me 3 tries to get it right, but still... I didn't know why it work now.
## Merge Details
### Merge Method
This model was merged using the `passthrough` merge method.
### Models Merged
The following models were included in the merge:
* [RozGrov/NemoDori-v0.2-12B-MN-BT](https://huggingface.co/RozGrov/NemoDori-v0.2-12B-MN-BT)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: RozGrov/NemoDori-v0.2-12B-MN-BT
layer_range: [0, 8]
- sources:
- model: RozGrov/NemoDori-v0.2-12B-MN-BT
layer_range: [8, 24]
parameters:
scale:
- filter: q_proj
value: 0.919
- filter: k_proj
value: 0.919
- value: 1.0
- sources:
- model: RozGrov/NemoDori-v0.2-12B-MN-BT
layer_range: [16, 32]
parameters:
scale:
- filter: q_proj
value: 0.919
- filter: k_proj
value: 0.919
- value: 1.0
- sources:
- model: RozGrov/NemoDori-v0.2-12B-MN-BT
layer_range: [32, 40]
merge_method: passthrough
dtype: bfloat16
```
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