README.md

metadata

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
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 :

"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)

“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: