--- 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**.
This should improves and makes it more clever somehow, if not, it's just my feeling.
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 ```