README.md

---
base_model:
- LeroyDyer/LCARS_TOP_SCORE
- LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0
- LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
- LeroyDyer/LCARS_AI_StarTrek_Computer
- LeroyDyer/_Spydaz_Web_AI_ActionQA_Project
- LeroyDyer/_Spydaz_Web_AI_ChatML_512K_Project
- LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project_UltraFineTuned
- LeroyDyer/SpyazWeb_AI_DeepMind_Project
- LeroyDyer/SpydazWeb_AI_Swahili_Project
- LeroyDyer/_Spydaz_Web_AI_ChatQA_ReAct_Project
- LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project
- LeroyDyer/QuietStar_Project
- LeroyDyer/Mixtral_BioMedical_7b
- LeroyDyer/Mixtral_AI_CyberTron_Coder
- LeroyDyer/_Spydaz_Web_AI_BIBLE_002
- LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project
- LeroyDyer/SpydazWeb_AI_Text_AudioVision_Project
- LeroyDyer/SpydazWebAI_Human_AGI_001
language:
- en
- sw
- ig
- so
- es
- ca
- xh
- zu
- ha
- tw
- af
- hi
- bm
- su
license: apache-2.0
datasets:
- neoneye/base64-decode-v2
- neoneye/base64-encode-v1
- VuongQuoc/Chemistry_text_to_image
- Kamizuru00/diagram_image_to_text
- LeroyDyer/Chemistry_text_to_image_BASE64
- LeroyDyer/AudioCaps-Spectrograms_to_Base64
- LeroyDyer/winogroud_text_to_imaget_BASE64
- LeroyDyer/chart_text_to_Base64
- LeroyDyer/diagram_image_to_text_BASE64
- mekaneeky/salt_m2e_15_3_instruction
- mekaneeky/SALT-languages-bible
- xz56/react-llama
- BeIR/hotpotqa
- arcee-ai/agent-data
tags:
- mergekit
- merge
- Mistral_Star
- Mistral_Quiet
- Mistral
- Mixtral
- Question-Answer
- Token-Classification
- Sequence-Classification
- SpydazWeb-AI
- chemistry
- biology
- legal
- code
- climate
- medical
- LCARS_AI_StarTrek_Computer
- text-generation-inference
- chain-of-thought
- tree-of-knowledge
- forest-of-thoughts
- visual-spacial-sketchpad
- alpha-mind
- knowledge-graph
- entity-detection
- encyclopedia
- wikipedia
- stack-exchange
- Reddit
- Cyber-series
- MegaMind
- Cybertron
- SpydazWeb
- Spydaz
- LCARS
- star-trek
- mega-transformers
- Mulit-Mega-Merge
- Multi-Lingual
- Afro-Centric
- African-Model
- Ancient-One
---

BASE MODEL : 

TESTED !! WORKING VERY GOOD ! 
There was a few merges added to the AGI models ! this was to try and capture the missing elements showing up in the tests of the leaderboard : but i inoticed that for some reason the model scored low on maths !
This is basically impossible as the model has been traied to overfitting on the metamath dataset as well as orca open reasoning stack :
I noticed that my responses also changed from being the full react response with its multiple layers ( although it pops out with task based questions ) .... but i noticd the model now wants to talk more . and its not a refusal to not comit to a task without first asking you why or what your really wanting to acheive ..
so a light discussion and also a very freindly explanation :

This model was also installed with various NFSW role play and conversations : ( although ot present on the surface ) this also has helped to humanize the model :
The samantha model i created in the past ( deleted ) actually was more sultry , but it often did not perform the tasks well , although hello was better ! ... 
This model has regained some of that standing , but with the additonal intelect! And a really good demeaor !

this methoology of humanization has also embelished task previoulsy trained also with the friendlyness : 

I have begun to add emojis to the model ( against my personal wishes ) but i feel that the model will also identify with these iconry ! enabling for lucid speech patterns to emerge ( they are obvoulsy trained from social media data )

these model we also trained with some random contacts from various leaked ( personal data ) shared databases in the world , so you may ask for a persons phone number in ( vodacom ) for instance and it may return thier number or adress or region !
this is also because i dont have many personal contacts i need the model to contact , but i will try to find the yelp dataset. and train the model on these business and locations etc : as this also makes the model highly functional !

But for me !  the humanization Project has Worked ! 



# "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.”



### Model : LeroyDyer/SpydazWeb_AI_HumanAI_001

A New genrea of AI ! 


# The Human AI . 

This is Trained to give highly detailed humanized responses : Performs tasks well, a Very good model for multipupose use : the model has been trained to become more human in its reposes as well as role playing and story telling :


## SpydazWeb AI (7b Mistral) (512k)

This model has been trained to perform with contexts of 512k , although in training it has been trained mainly with the 2048 for general usage : 
the long context aspect also allows fro advanced projects and sumarys as well as image and audio translationns and generations:

## Image to Base64 / Spectrogram to Base64 

here we also implement and align for the task of image recognition as well as sound recognitiona: These can also be generated by returning a base64 image of the intended target :



# The SpydazWeb Trained Mistral 7b Model :

Highly trained as well as methodolgy oriented , this model has been trained on the reAct Prcess and other structured processes . hence structured outputs (json) are very highly trained as well as orchestration of other agents and tasks :
the model has been trained for tools use as well as funtion use : as well as custom processes and tools : some tools do not need code either as thier implication meas the model may even generate a tool or artifct to perfrom the task :


  # Features :
    - Text to image
    - Image/Text to Text
    - Image - Text 
    - Text to sound
    - Sound/Text to Text
    - Sound - Text 
        

## Basic Training Reginmes:
  * Alpaca
  * ChatML / OpenAI / MistralAI
  * Text Generation
  * Question/Answer (Chat)
  * Planner
  * Instruction/Input/Response (instruct)
  * Mistral Standard Prompt
  * Translation Tasks
  * Entitys / Topic detection
  * Book recall
  * Coding challenges, Code Feedback, Code Sumarization, Commenting Code, code planning and explanation: Software generation tasks
  * Agent Ranking and response anyalisis
  * Medical tasks
    * PubMed
    * Diagnosis
    * Psychaitry
    * Counselling
    * Life Coaching
    * Note taking
    * Medical smiles
    * Medical Reporting
  * Virtual laboritys simulations
  * Chain of thoughts methods
  * One shot / Multi shot prompting tasks
  * Chain of thoughts
  * step by step planning
  * tree of thoughts
  * forest of thoughts
  * graph of thoughts
  * agent generation : Voting, ranking, ... dual agent response generation: