transformers safetensors mistral text-generation LCARS Star-Trek 128k-Context chemistry biology finance legal art code medical text-generation-inference text2text-generation en license:mit autotrain_compatible endpoints_compatible region:us
---
language:
- en
library_name: transformers
license: mit
pipeline_tag: text2text-generation
tags:
- LCARS
- Star-Trek
- 128k-Context
- mistral
- chemistry
- biology
- finance
- legal
- art
- code
- medical
- text-generation-inference
---
If anybody has star trek data please send as this starship computer database archive needs it!

then i can correctly theme this model to be inside its role as a starship computer : 
so as well as any space dara ffrom nasa ; i have collected some mufon files which i am still framing the correct prompts for ; for recall as well as interogation : 
I shall also be adding a lot of biblical data and historical data ; from sacred texts; so any generated discussions as phylosophers discussing ancient history and how to solve the problems of the past which they encountered ; in thier lifes: using historical and factual data; as well as playig thier roles after generating a biography and character role to the models to play: they should also be amazed by each others acheivements depending on thier periods:
we need multiple role and characters for these discussions: as well as as much historical facts and historys as possible to enhance this models abitlity to dicern ancient aliens truth or false : (so we need astrological, astronomical, as well as sizmological and ecological data for the periods of histroy we know : as well as the unfounded suupositions from youtube subtitles !) another useful source of themed data!


This model is a Collection of merged models via various merge methods :  Reclaiming Previous models which will be orphened by thier parent models :
THis model is the model of models so it may not Remember some task or Infact remember them all as well as highly perform !
There were some very bad NSFW Merges from role play to erotica as well as various characters and roles downloaded into the model: 
So those models were merged into other models which had been specifically trained for maths or medical data and the coding operations or even translation:

the models were heavliy dpo trained ; and various newer methodologies installed : the deep mind series is a special series which contains self correction recal, visio spacial ... step by step thinking:

SO the multi merge often fizes these errors between models as well as training gaps :Hopefully they all took and merged well !
Performing even unknown and unprogrammed tasks: