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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:
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GGUF
Model size
7.24B params
Architecture
llama

4-bit

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