GGUF
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
Inference Endpoints
File size: 5,069 Bytes
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---
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)
<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: |