NemoMerge-V1.0-12B / README.md
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---
base_model:
- unsloth/Mistral-Nemo-Instruct-2407
- cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
- Kooten/Mistral-Nemo-Instruct-2407-norefuse-OAS
- intervitens/mini-magnum-12b-v1.1
- NeverSleep/Lumimaid-v0.2-12B
library_name: transformers
tags:
- mergekit
- merge
---
# Experimental Merge. I have no idea what the hell I'm doing.
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 [unsloth/Mistral-Nemo-Instruct-2407](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407) as a base.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b](https://huggingface.co/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b)
* [Kooten/Mistral-Nemo-Instruct-2407-norefuse-OAS](https://huggingface.co/Kooten/Mistral-Nemo-Instruct-2407-norefuse-OAS)
* [intervitens/mini-magnum-12b-v1.1](https://huggingface.co/intervitens/mini-magnum-12b-v1.1)
* [NeverSleep/Lumimaid-v0.2-12B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-12B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: unsloth/Mistral-Nemo-Instruct-2407
models:
- model: intervitens/mini-magnum-12b-v1.1
parameters:
density: 0.5
weight: 0.2
- model: NeverSleep/Lumimaid-v0.2-12B
parameters:
density: 0.5
weight: 0.5
- model: Kooten/Mistral-Nemo-Instruct-2407-norefuse-OAS
parameters:
density: 0.6
weight: 1.0
- model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
parameters:
density: 0.6
weight: 0.5
merge_method: dare_ties
dtype: float16
```