Update README.md

README.md

@@ -1,149 +1,98 @@
 ---
-license: mit
 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/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
+- en
+- sw
+- ig
+- so
+- es
+- ca
+- xh
+- zu
+- ha
+- tw
+- af
+- hi
+- bm
+- su
+license: apache-2.0
 datasets:
-  - gretelai/synthetic_text_to_sql
-  - HuggingFaceTB/cosmopedia
-  - teknium/OpenHermes-2.5
-  - Open-Orca/SlimOrca
-  - Severian/Internal-Knowledge-Map
-  - Open-Orca/OpenOrca
-  - cognitivecomputations/dolphin-coder
-  - databricks/databricks-dolly-15k
-  - yahma/alpaca-cleaned
-  - uonlp/CulturaX
-  - mwitiderrick/SwahiliPlatypus
-  - NexusAI-tddi/OpenOrca-tr-1-million-sharegpt
-  - Vezora/Open-Critic-GPT
-  - verifiers-for-code/deepseek_plans_test
-  - meta-math/MetaMathQA
-  - KbsdJames/Omni-MATH
-  - swahili
-  - Rogendo/English-Swahili-Sentence-Pairs
-  - ise-uiuc/Magicoder-Evol-Instruct-110K
-  - meta-math/MetaMathQA
-  - abacusai/ARC_DPO_FewShot
-  - abacusai/MetaMath_DPO_FewShot
-  - abacusai/HellaSwag_DPO_FewShot
-  - HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
-  - HuggingFaceFW/fineweb
-  - occiglot/occiglot-fineweb-v0.5
-  - omi-health/medical-dialogue-to-soap-summary
-  - keivalya/MedQuad-MedicalQnADataset
-  - ruslanmv/ai-medical-dataset
-  - Shekswess/medical_llama3_instruct_dataset_short
-  - ShenRuililin/MedicalQnA
-  - virattt/financial-qa-10K
-  - PatronusAI/financebench
-  - takala/financial_phrasebank
-  - Replete-AI/code_bagel
-  - athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
-  - IlyaGusev/gpt_roleplay_realm
-  - rickRossie/bluemoon_roleplay_chat_data_300k_messages
-  - jtatman/hypnosis_dataset
-  - Hypersniper/philosophy_dialogue
-  - Locutusque/function-calling-chatml
-  - bible-nlp/biblenlp-corpus
-  - DatadudeDev/Bible
-  - Helsinki-NLP/bible_para
-  - HausaNLP/AfriSenti-Twitter
-  - aixsatoshi/Chat-with-cosmopedia
-  - xz56/react-llama
-  - BeIR/hotpotqa
-  - YBXL/medical_book_train_filtered
-  - SkunkworksAI/reasoning-0.01
-  - THUDM/LongWriter-6k
-  - WhiteRabbitNeo/WRN-Chapter-1
-  - WhiteRabbitNeo/Code-Functions-Level-Cyber
-  - WhiteRabbitNeo/Code-Functions-Level-General
-  - neoneye/base64-decode-v1
-  - 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
+- 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
 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
+- 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
 ---
 
 
+
+
 # "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)
@@ -152,23 +101,34 @@ tags:
 
 ## “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.”
 
-## MSpydazWebAI Human AGI Model-Base
-### Merge Method
 
-This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
 
-### Models Merged
+### 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 following models were included in the merge:
-* [LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003](https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003)
-* LeroyDyer/SpydazWeb_HumanAI_M2
-* LEroyDyer/SpydazWeb_HumanAI_M3
-* LeroyDyer/SpydazWeb_HumanAI_M1
 
 
-# SpydazWeb AI (7b Mistral) (512k)
+# 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 :
 
-The SpydazWeb Trained Mistral 7b Model :
 
   # Features :
     - Text to image
@@ -179,13 +139,6 @@ The SpydazWeb Trained Mistral 7b Model :
     - Sound - Text 
         
 
-
-
-
-
-
-
-
 ## Basic Training Reginmes:
   * Alpaca
   * ChatML / OpenAI / MistralAI
@@ -217,9 +170,6 @@ The SpydazWeb Trained Mistral 7b Model :
   * forest of thoughts
   * graph of thoughts
   * agent generation : Voting, ranking, ... dual agent response generation:
-
-
-
 ### Effective Prompts :
 
 ```yaml