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---
base_model:
- LeroyDyer/LCARS_AI_StarTrek_Computer
- LeroyDyer/LCARS_TOP_SCORE
- LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
- LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
library_name: transformers
tags:
- mergekit
- merge
- unsloth
- trl
- sft
---
# "Success comes from defining each task in achievable steps. Every completed step is a success that brings you closer to your goal. If your steps are unreachable, failure is inevitable. Winners create more winners, while losers do the opposite. Success is a game of winners!"
— # Leroy Dyer (1972-Present)
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/>
## “Epochs are the key to effective training, rather than merely mass dumping examples—unless those examples are interconnected within a single or multiple conversations that teach through dialogue.”
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT](https://huggingface.co/LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT) as a base.
### Models Merged
The following models were included in the merge:
* [LeroyDyer/LCARS_AI_StarTrek_Computer](https://huggingface.co/LeroyDyer/LCARS_AI_StarTrek_Computer)
* [LeroyDyer/LCARS_TOP_SCORE](https://huggingface.co/LeroyDyer/LCARS_TOP_SCORE)
* [LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b](https://huggingface.co/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
parameters:
density: 0.256
weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
- model: LeroyDyer/LCARS_AI_StarTrek_Computer
parameters:
density: 0.256
weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
- model: LeroyDyer/LCARS_TOP_SCORE
parameters:
density: 0.512
weight: [0.768, 0.768, 0.128, 0.512] # weight gradient
- model: LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
parameters:
density: 0.256
weight:
- filter: mlp
value: 0.768
- value: 0.512
merge_method: ties
base_model: LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
parameters:
normalize: true
int8_mask: true
dtype: float16
```
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