---
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

```